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diff --git a/data/Event Verification/filtered/warehouse_near_miss/positive/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4 b/data/Event Verification/filtered/warehouse_near_miss/positive/scene_26_01_00-05-05_to_00-08-50_GoPro1_same_as_above_person_jumping_05-24.mp4
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diff --git a/data/Event Verification/filtered/warehouse_near_miss/positive/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4 b/data/Event Verification/filtered/warehouse_near_miss/positive/scene_27_01_00-08-50_to_00-15-25_GoPro1_person_bending_down_fork_lift_moving_forward_10-30.mp4
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diff --git a/data/Metropolis2DPointing/Metropolis2DPointing.tsv b/data/Metropolis2DPointing/Metropolis2DPointing.tsv
new file mode 100644
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+++ b/data/Metropolis2DPointing/Metropolis2DPointing.tsv
@@ -0,0 +1,1006 @@
+index	question_id	image_path	question	A	B	C	D
+0	000000__largest_in_class_2	images_annotated/000000_000000__largest_in_class_2.jpg	Point to the largest car in the image.	710,780	742,775	643,779	762,771
+1	000000__rightmost_in_class_0	images_annotated/000000_000000__rightmost_in_class_0.jpg	Which is the rightmost car in the scene?	1832,721	799,777	762,771	742,775
+2	000000__pair_size_3	images_annotated/000000_000000__pair_size_3.jpg	Find the larger of the two people walking on the sidewalk.	1505,557	1831,721	799,777	1392,794
+3	000005__largest_in_class_0	images_annotated/000005_000005__largest_in_class_0.jpg	Which car is the largest in the scene?	710,781	741,775	643,779	761,771
+4	000005__pair_size_9	images_annotated/000005_000005__pair_size_9.jpg	Point to the larger of the two people walking on the sidewalk.	1404,794	1392,795	1505,557	1831,721
+5	000005__rightmost_in_class_10	images_annotated/000005_000005__rightmost_in_class_10.jpg	Tap the rightmost car in the scene.	1832,721	799,777	761,771	741,775
+6	000010__largest_in_class_0	images_annotated/000010_000010__largest_in_class_0.jpg	Which car is the largest in the scene?	710,781	741,775	761,771	643,779
+7	000010__rightmost_in_class_2	images_annotated/000010_000010__rightmost_in_class_2.jpg	Which car is the rightmost one?	799,777	1832,721	761,771	741,775
+8	000010__quadrant_hint_4	images_annotated/000010_000010__quadrant_hint_4.jpg	Where is the road sign located in the lower right?	1505,557	1403,794	1831,721	799,777
+9	000015__largest_in_class_10	images_annotated/000015_000015__largest_in_class_10.jpg	Which person is the largest in the pair walking on the sidewalk?	1505,557	1392,795	1832,721	799,777
+10	000015__pair_size_8	images_annotated/000015_000015__pair_size_8.jpg	Find the smaller person in the pair walking on the sidewalk.	1402,795	1505,557	1832,721	799,777
+11	000020__rightmost_in_class_2	images_annotated/000020_000020__rightmost_in_class_2.jpg	Tap the rightmost car in the scene.	799,777	1832,721	761,771	741,776
+12	000020__pair_size_4	images_annotated/000020_000020__pair_size_4.jpg	Which person is the larger of the two walking together?	1505,556	1831,721	799,777	1396,795
+13	000020__quadrant_hint_1	images_annotated/000020_000020__quadrant_hint_1.jpg	Where is the road sign located in the lower right quadrant?	1505,556	1406,795	1831,721	799,777
+14	000025__relation_nearest_to_unique_4	images_annotated/000025_000025__relation_nearest_to_unique_4.jpg	Which car is nearest to the person on the sidewalk?	762,771	743,776	709,781	799,777
+15	000025__pair_size_1	images_annotated/000025_000025__pair_size_1.jpg	Which person is the larger of the two standing on the sidewalk?	1504,556	1404,796	799,777	762,771
+16	000025__pair_size_2	images_annotated/000025_000025__pair_size_2.jpg	Which person is the smaller of the two standing on the sidewalk?	1411,796	1504,556	799,777	762,771
+17	000030__quadrant_hint_0	images_annotated/000030_000030__quadrant_hint_0.jpg	Point to the car on the far right side of the road.	799,777	1832,721	762,772	741,776
+18	000030__smallest_in_class_2	images_annotated/000030_000030__smallest_in_class_2.jpg	Find the smallest person in the image.	1505,559	1070,707	1415,796	1831,721
+19	000030__largest_in_class_1	images_annotated/000030_000030__largest_in_class_1.jpg	Find the largest person in the image.	1505,559	1407,796	1070,707	1831,721
+20	000035__unique_class_0	images_annotated/000035_000035__unique_class_0.jpg	Point to the road sign on the pole.	1422,796	1831,721	799,777	1505,559
+21	000035__relation_nearest_to_unique_2	images_annotated/000035_000035__relation_nearest_to_unique_2.jpg	Which person is closest to the road sign?	1505,559	1831,721	1423,796	799,777
+22	000035__pair_size_1	images_annotated/000035_000035__pair_size_1.jpg	Find the larger of the two people walking on the sidewalk.	1505,559	1831,721	1413,796	799,777
+23	000040__relation_nearest_to_unique_1	images_annotated/000040_000040__relation_nearest_to_unique_1.jpg	Find the car nearest to the road sign.	799,777	1832,721	762,771	741,776
+24	000040__unique_class_0	images_annotated/000040_000040__unique_class_0.jpg	Point to the road sign on the pole.	1426,793	1831,721	1505,559	799,777
+25	000040__largest_in_class_3	images_annotated/000040_000040__largest_in_class_3.jpg	Find the largest car in the image.	643,779	708,780	741,776	762,771
+26	000045__largest_in_class_0	images_annotated/000045_000045__largest_in_class_0.jpg	Which car is the largest in the line of traffic?	643,780	709,780	742,775	762,771
+27	000045__leftmost_in_class_1	images_annotated/000045_000045__leftmost_in_class_1.jpg	Which car is the leftmost in the traffic line?	643,780	709,780	742,775	79,755
+28	000045__pair_size_6	images_annotated/000045_000045__pair_size_6.jpg	Point to the larger of the two people on the sidewalk.	1423,796	1505,559	1831,721	799,777
+29	000050__relation_nearest_to_unique_2	images_annotated/000050_000050__relation_nearest_to_unique_2.jpg	Which car is nearest to the road sign?	1832,722	799,777	762,771	742,775
+30	000050__largest_in_class_4	images_annotated/000050_000050__largest_in_class_4.jpg	Which car is the largest one in the image?	710,781	742,775	643,781	762,771
+31	000050__quadrant_hint_3	images_annotated/000050_000050__quadrant_hint_3.jpg	Point to the road sign in the lower right.	1438,797	1831,722	799,777	1503,561
+32	000055__largest_in_class_6	images_annotated/000055_000055__largest_in_class_6.jpg	Which car is the largest in the left lane?	709,780	742,776	762,771	645,780
+33	000055__pair_size_4	images_annotated/000055_000055__pair_size_4.jpg	Which person is the larger of the two standing on the sidewalk?	1504,559	1432,798	1831,721	799,776
+34	000055__quadrant_hint_3	images_annotated/000055_000055__quadrant_hint_3.jpg	Find the road sign on the right side of the street.	1503,559	1441,796	1831,721	799,776
+35	000060__smallest_in_class_10	images_annotated/000060_000060__smallest_in_class_10.jpg	Which person is the smallest in the pair on the right?	1439,798	1505,559	1452,797	1832,721
+36	000060__largest_in_class_5	images_annotated/000060_000060__largest_in_class_5.jpg	Which car is the largest in the group on the left side of the road?	710,780	643,780	742,776	763,771
+37	000060__pair_size_9	images_annotated/000060_000060__pair_size_9.jpg	Point to the larger person standing on the right sidewalk.	1451,797	1505,559	1438,798	1832,721
+38	000065__pair_size_4	images_annotated/000065_000065__pair_size_4.jpg	Which person is the larger one in the pair?	1504,560	799,777	1446,798	762,771
+39	000065__largest_in_class_1	images_annotated/000065_000065__largest_in_class_1.jpg	Which car is the largest in the image?	643,779	708,781	742,775	762,771
+40	000065__relation_nearest_to_unique_3	images_annotated/000065_000065__relation_nearest_to_unique_3.jpg	Which person is closest to the road sign?	1504,560	799,777	1455,799	762,771
+41	000070__relation_nearest_to_unique_3	images_annotated/000070_000070__relation_nearest_to_unique_3.jpg	Which car is nearest to the road sign?	799,777	763,771	742,775	1832,721
+42	000070__unique_class_0	images_annotated/000070_000070__unique_class_0.jpg	Point to the road sign on the traffic light pole.	1503,559	1462,797	1831,721	799,777
+43	000070__relation_nearest_to_unique_4	images_annotated/000070_000070__relation_nearest_to_unique_4.jpg	Which person is closest to the road sign?	1504,559	1831,721	1461,797	799,777
+44	000075__rightmost_in_class_8	images_annotated/000075_000075__rightmost_in_class_8.jpg	Which car is the rightmost one in the image?	1832,721	799,777	762,771	743,775
+45	000075__largest_in_class_5	images_annotated/000075_000075__largest_in_class_5.jpg	Which person is the largest in the scene?	1504,559	1459,799	1832,721	799,777
+46	000080__relation_nearest_to_unique_4	images_annotated/000080_000080__relation_nearest_to_unique_4.jpg	Which car is nearest to the road sign?	1832,721	799,777	762,771	743,776
+47	000080__smallest_in_class_2	images_annotated/000080_000080__smallest_in_class_2.jpg	Which person is the smallest in the image?	1504,559	1831,721	799,777	1471,799
+48	000080__pair_size_3	images_annotated/000080_000080__pair_size_3.jpg	Where is the larger person in the pair?	1504,559	1463,800	1831,721	799,777
+49	000085__largest_in_class_7	images_annotated/000085_000085__largest_in_class_7.jpg	Which person is the largest on the right side of the road?	1505,559	1831,721	799,777	1469,800
+50	000085__relation_nearest_to_unique_5	images_annotated/000085_000085__relation_nearest_to_unique_5.jpg	Point to the person standing on the right side of the crosswalk.	1478,799	1505,559	1831,721	799,777
+51	000090__relation_nearest_to_unique_6	images_annotated/000090_000090__relation_nearest_to_unique_6.jpg	Which person is closest to the road sign?	1505,557	1473,800	1831,721	799,777
+52	000090__quadrant_hint_8	images_annotated/000090_000090__quadrant_hint_8.jpg	Point to the road sign in the lower right quadrant.	1505,557	1472,800	1831,721	799,777
+53	000095__quadrant_hint_2	images_annotated/000095_000095__quadrant_hint_2.jpg	Point to the car in the lower right quadrant.	800,777	762,772	1832,721	741,776
+54	000095__smallest_in_class_3	images_annotated/000095_000095__smallest_in_class_3.jpg	Where is the smallest person in the image?	1505,557	1831,721	800,777	1488,801
+55	000095__unique_class_4	images_annotated/000095_000095__unique_class_4.jpg	Tap the road sign on the pole.	1479,800	1831,721	1505,557	800,777
+56	000100__largest_in_class_3	images_annotated/000100_000100__largest_in_class_3.jpg	Which car is the largest in the group on the left side of the road?	709,781	643,780	742,775	762,772
+57	000100__pair_size_5	images_annotated/000100_000100__pair_size_5.jpg	Which person is the larger of the two standing together on the right?	1504,557	1831,721	1484,802	800,777
+58	000100__rightmost_in_class_7	images_annotated/000100_000100__rightmost_in_class_7.jpg	Which car is the rightmost one in the image?	800,777	762,772	742,775	1832,721
+59	000105__largest_in_class_0	images_annotated/000105_000105__largest_in_class_0.jpg	Which car is the largest in the scene?	707,781	643,780	740,776	761,771
+60	000105__quadrant_hint_8	images_annotated/000105_000105__quadrant_hint_8.jpg	Point to the car on the far right side of the image.	798,777	761,771	1832,721	740,776
+61	000105__smallest_in_class_3	images_annotated/000105_000105__smallest_in_class_3.jpg	Find the smallest car in the image.	25,740	47,746	76,756	644,780
+62	000110__relation_left_of_unique_2	images_annotated/000110_000110__relation_left_of_unique_2.jpg	Where is the person standing to the left of the other person?	1506,804	1504,557	1831,721	1494,804
+63	000110__unique_class_0	images_annotated/000110_000110__unique_class_0.jpg	Point to the road sign on the traffic light pole.	1503,557	1506,804	1494,804	1831,721
+64	000115__relation_right_of_unique_3	images_annotated/000115_000115__relation_right_of_unique_3.jpg	Point to the person on the right side of the pair.	1505,559	1511,803	1831,721	799,777
+65	000115__largest_in_class_4	images_annotated/000115_000115__largest_in_class_4.jpg	Which person is the largest in the image?	1505,559	1831,721	799,777	1501,804
+66	000120__rightmost_in_class_0	images_annotated/000120_000120__rightmost_in_class_0.jpg	Find the rightmost car in the scene.	799,777	762,772	1832,722	739,776
+67	000120__unique_class_1	images_annotated/000120_000120__unique_class_1.jpg	Where is the road sign in the image?	1503,559	1509,804	1523,804	1831,722
+68	000120__largest_in_class_2	images_annotated/000120_000120__largest_in_class_2.jpg	Which car is the largest in the image?	704,781	739,776	762,772	643,780
+69	000125__largest_in_class_3	images_annotated/000125_000125__largest_in_class_3.jpg	Find the largest person on the sidewalk.	1513,805	1527,806	1505,557	799,776
+70	000125__relation_nearest_to_unique_5	images_annotated/000125_000125__relation_nearest_to_unique_5.jpg	Point to the car that is nearest to the person on the sidewalk.	760,772	739,776	799,777	701,781
+71	000125__pair_size_0	images_annotated/000125_000125__pair_size_0.jpg	Which person is the smaller one standing on the sidewalk?	1513,805	1505,557	1526,806	799,776
+72	000130__largest_in_class_5	images_annotated/000130_000130__largest_in_class_5.jpg	Find the largest car in the line of traffic.	701,782	643,780	739,776	761,772
+73	000130__smallest_in_class_3	images_annotated/000130_000130__smallest_in_class_3.jpg	Which person is the smallest in the image?	1532,804	1505,560	1831,721	799,776
+74	000130__pair_size_2	images_annotated/000130_000130__pair_size_2.jpg	Which person is the larger of the two standing on the sidewalk?	1505,560	1831,721	1526,804	799,776
+75	000135__rightmost_in_class_1	images_annotated/000135_000135__rightmost_in_class_1.jpg	Which car is the rightmost one in the scene?	1832,721	798,778	761,771	737,776
+76	000135__relation_nearest_to_unique_0	images_annotated/000135_000135__relation_nearest_to_unique_0.jpg	Find the car nearest to the person with the umbrella.	1504,556	1831,721	798,778	1538,806
+77	000140__relation_nearest_to_unique_9	images_annotated/000140_000140__relation_nearest_to_unique_9.jpg	Find the road sign nearest to the person with the umbrella.	1505,559	1831,721	1513,683	798,778
+78	000140__quadrant_hint_2	images_annotated/000140_000140__quadrant_hint_2.jpg	Where is the road sign in the lower right quadrant?	1544,806	1505,559	1831,721	798,778
+79	000145__smallest_in_class_2	images_annotated/000145_000145__smallest_in_class_2.jpg	Find the smallest person in the image.	1556,804	1505,559	1831,721	1569,804
+80	000145__largest_in_class_1	images_annotated/000145_000145__largest_in_class_1.jpg	Where is the largest person in the scene?	1568,804	1505,559	1831,721	1555,804
+81	000150__largest_in_class_1	images_annotated/000150_000150__largest_in_class_1.jpg	Which car is the largest in the group?	733,776	760,772	797,778	685,784
+82	000150__relation_nearest_to_unique_5	images_annotated/000150_000150__relation_nearest_to_unique_5.jpg	Which person is closest to the road sign?	1504,556	1831,721	1572,806	797,778
+83	000150__pair_size_4	images_annotated/000150_000150__pair_size_4.jpg	Which person is the smaller of the two?	1504,556	1580,806	1831,721	797,778
+84	000155__smallest_in_class_1	images_annotated/000155_000155__smallest_in_class_1.jpg	Which car is the smallest in the image?	730,778	760,773	797,780	681,786
+85	000155__quadrant_hint_0	images_annotated/000155_000155__quadrant_hint_0.jpg	Point to the car on the far right side of the road.	797,780	760,773	1832,723	730,778
+86	000155__unique_class_2	images_annotated/000155_000155__unique_class_2.jpg	Where is the road sign in the scene?	1578,807	1831,722	797,780	1505,561
+87	000160__largest_in_class_1	images_annotated/000160_000160__largest_in_class_1.jpg	Which car is the largest in the group on the left side of the road?	638,782	731,778	758,773	676,786
+88	000160__rightmost_in_class_4	images_annotated/000160_000160__rightmost_in_class_4.jpg	Find the rightmost car in the image.	1832,723	796,779	758,773	731,778
+89	000160__quadrant_hint_5	images_annotated/000160_000160__quadrant_hint_5.jpg	Which road sign is in the lower-right section of the image?	1600,808	1832,723	1507,561	796,779
+90	000165__rightmost_in_class_0	images_annotated/000165_000165__rightmost_in_class_0.jpg	Point to the rightmost car in the scene.	794,781	759,774	729,780	1832,723
+91	000165__unique_class_1	images_annotated/000165_000165__unique_class_1.jpg	Where is the person standing on the sidewalk?	1832,723	1509,560	794,781	1617,810
+92	000170__largest_in_class_1	images_annotated/000170_000170__largest_in_class_1.jpg	Which car is the largest in the scene?	664,789	729,780	757,774	793,782
+93	000170__pair_size_5	images_annotated/000170_000170__pair_size_5.jpg	Which person is the larger of the two walking together?	1833,723	1619,812	1513,559	793,782
+94	000170__quadrant_hint_4	images_annotated/000170_000170__quadrant_hint_4.jpg	Where is the road sign located in the lower right quadrant?	1619,812	1833,723	793,782	1513,559
+95	000175__quadrant_hint_0	images_annotated/000175_000175__quadrant_hint_0.jpg	Point to the car in the lower right corner of the image.	794,786	756,778	1834,725	728,784
+96	000175__largest_in_class_3	images_annotated/000175_000175__largest_in_class_3.jpg	Which car is the largest in the scene?	700,774	728,784	756,778	657,794
+97	000180__rightmost_in_class_0	images_annotated/000180_000180__rightmost_in_class_0.jpg	Find the rightmost car in the scene.	792,788	754,777	726,785	1836,728
+98	000180__largest_in_class_2	images_annotated/000180_000180__largest_in_class_2.jpg	Which person is the largest in the image?	1674,819	1835,728	1659,821	1527,560
+99	000185__largest_in_class_5	images_annotated/000185_000185__largest_in_class_5.jpg	Point to the largest car on the road.	636,798	699,781	726,786	753,777
+100	000185__quadrant_hint_3	images_annotated/000185_000185__quadrant_hint_3.jpg	Which car is in the lower right corner of the image?	791,789	1837,728	753,777	726,786
+101	000185__unique_class_1	images_annotated/000185_000185__unique_class_1.jpg	Point to the road sign on the pole near the people.	1680,823	1837,728	791,789	1538,558
+102	000190__pair_size_0	images_annotated/000190_000190__pair_size_0.jpg	Point to the smaller person walking on the right side of the pair.	1704,817	1840,729	1551,554	1718,809
+103	000190__largest_in_class_3	images_annotated/000190_000190__largest_in_class_3.jpg	Point to the largest car in the left lane.	679,784	697,781	626,801	724,787
+104	000190__relation_nearest_to_unique_1	images_annotated/000190_000190__relation_nearest_to_unique_1.jpg	Where is the person standing closest to the white car?	1705,816	1719,809	1840,729	1551,554
+105	000195__relation_nearest_to_unique_10	images_annotated/000195_000195__relation_nearest_to_unique_10.jpg	Which car is closest to the person holding an umbrella?	1740,1078	788,790	1841,728	753,777
+106	000195__pair_size_7	images_annotated/000195_000195__pair_size_7.jpg	Point to the smaller person standing on the right.	1749,796	1842,728	1740,1078	1570,548
+107	000195__pair_size_11	images_annotated/000195_000195__pair_size_11.jpg	Point to the larger person standing on the left.	1842,728	1740,798	1740,1078	1570,548
+108	000200__relation_nearest_to_unique_5	images_annotated/000200_000200__relation_nearest_to_unique_5.jpg	Which car is nearest to the person on the right?	1726,1079	786,792	753,778	1839,729
+109	000200__bottommost_in_class_4	images_annotated/000200_000200__bottommost_in_class_4.jpg	Which person is at the bottom of the pair?	1783,759	1840,729	1774,789	1726,1079
+110	000200__relation_nearest_to_unique_6	images_annotated/000200_000200__relation_nearest_to_unique_6.jpg	Which person is nearest to the car on the far right?	1784,759	1775,790	1840,729	1591,542
+111	000205__unique_class_0	images_annotated/000205_000205__unique_class_0.jpg	Point to the person holding an umbrella on the right.	1617,534	1714,1079	1818,739	784,794
+112	000205__quadrant_hint_1	images_annotated/000205_000205__quadrant_hint_1.jpg	Point to the road sign in the upper right section.	1818,739	1714,1079	784,794	1617,534
+113	000210__relation_nearest_to_unique_9	images_annotated/000210_000210__relation_nearest_to_unique_9.jpg	Find the white car that is nearest to the road sign.	782,795	748,779	1705,1079	715,790
+114	000210__quadrant_hint_4	images_annotated/000210_000210__quadrant_hint_4.jpg	Where is the road sign located in the upper right quadrant?	1649,524	1705,1079	782,795	748,779
+115	000215__leftmost_in_class_4	images_annotated/000215_000215__leftmost_in_class_4.jpg	Which car is the leftmost one in the image?	33,761	508,822	633,790	675,785
+116	000215__pair_size_7	images_annotated/000215_000215__pair_size_7.jpg	Point to the larger of the two road signs.	1089,712	1690,512	1699,1079	834,776
+117	000215__largest_in_class_0	images_annotated/000215_000215__largest_in_class_0.jpg	Find the largest car in the image.	1699,1079	834,776	815,785	780,795
+118	000220__rightmost_in_class_8	images_annotated/000220_000220__rightmost_in_class_8.jpg	Point to the car that is farthest to the right.	835,774	814,784	1693,1079	777,794
+119	000220__leftmost_in_class_6	images_annotated/000220_000220__leftmost_in_class_6.jpg	Find the car that is farthest to the left in the image.	25,759	464,830	631,788	672,782
+120	000220__largest_in_class_3	images_annotated/000220_000220__largest_in_class_3.jpg	Point to the largest road sign in the scene.	1733,477	1094,710	1693,1079	1738,494
+121	000225__rightmost_in_class_0	images_annotated/000225_000225__rightmost_in_class_0.jpg	Point to the car that is furthest to the right.	835,774	813,785	1690,1079	774,795
+122	000225__smallest_in_class_2	images_annotated/000225_000225__smallest_in_class_2.jpg	Which road sign is the smallest?	1793,476	835,774	813,785	1098,708
+123	000230__rightmost_in_class_1	images_annotated/000230_000230__rightmost_in_class_1.jpg	Tap the car that is positioned furthest to the right.	1686,1079	834,774	811,785	769,797
+124	000230__largest_in_class_0	images_annotated/000230_000230__largest_in_class_0.jpg	Find the largest road sign in the image.	1102,707	1686,1079	1859,454	834,774
+125	000235__rightmost_in_class_2	images_annotated/000235_000235__rightmost_in_class_2.jpg	Tap the car that is furthest to the right.	833,773	808,785	763,799	1686,1079
+126	000235__smallest_in_class_1	images_annotated/000235_000235__smallest_in_class_1.jpg	Find the smallest road sign in the image.	1108,706	1903,439	833,773	808,785
+127	000240__leftmost_in_class_5	images_annotated/000240_000240__leftmost_in_class_5.jpg	Point to the leftmost car in the image.	616,785	129,904	686,787	757,799
+128	000240__relation_right_of_unique_1	images_annotated/000240_000240__relation_right_of_unique_1.jpg	Point to the car on the far right of the image.	1684,1079	827,778	757,799	686,787
+129	000240__relation_nearest_to_unique_0	images_annotated/000240_000240__relation_nearest_to_unique_0.jpg	Which car is nearest to the white car on the right?	757,799	686,787	828,778	616,785
+130	000245__largest_in_class_4	images_annotated/000245_000245__largest_in_class_4.jpg	Point to the largest car in the image.	1684,1079	825,777	791,785	748,802
+131	000245__smallest_in_class_5	images_annotated/000245_000245__smallest_in_class_5.jpg	Find the smallest car in the line of traffic.	791,785	748,802	826,777	678,787
+132	000245__leftmost_in_class_0	images_annotated/000245_000245__leftmost_in_class_0.jpg	Point to the leftmost car in the line of traffic.	678,787	612,784	748,802	791,785
+133	000250__largest_in_class_5	images_annotated/000250_000250__largest_in_class_5.jpg	Find the largest car in the image.	823,776	786,785	739,805	1684,1079
+134	000250__smallest_in_class_1	images_annotated/000250_000250__smallest_in_class_1.jpg	Find the smallest car in the image.	824,777	786,785	739,805	670,787
+135	000250__leftmost_in_class_4	images_annotated/000250_000250__leftmost_in_class_4.jpg	Where is the leftmost car in the line of traffic?	670,787	739,805	607,783	786,785
+136	000255__quadrant_hint_1	images_annotated/000255_000255__quadrant_hint_1.jpg	Find the car in the lower right corner of the image.	819,777	778,787	727,809	1684,1077
+137	000255__relation_nearest_to_unique_2	images_annotated/000255_000255__relation_nearest_to_unique_2.jpg	Which car is closest to the road sign?	778,787	727,809	820,777	659,788
+138	000255__unique_class_3	images_annotated/000255_000255__unique_class_3.jpg	Where is the road sign in the scene?	1131,696	819,777	778,787	727,809
+139	000260__quadrant_hint_3	images_annotated/000260_000260__quadrant_hint_3.jpg	Which car is on the far right of the image?	825,769	816,777	781,788	1686,1078
+140	000260__relation_nearest_to_unique_1	images_annotated/000260_000260__relation_nearest_to_unique_1.jpg	Which car is nearest to the road sign?	826,769	816,777	781,788	710,815
+141	000260__unique_class_0	images_annotated/000260_000260__unique_class_0.jpg	Where is the person standing on the sidewalk?	380,777	588,785	643,788	710,815
+142	000265__relation_right_of_unique_2	images_annotated/000265_000265__relation_right_of_unique_2.jpg	Point to the white car on the right side of the road.	1686,1078	824,769	812,777	773,790
+143	000265__quadrant_hint_0	images_annotated/000265_000265__quadrant_hint_0.jpg	Where is the person standing on the left side of the road?	579,785	623,789	688,822	363,777
+144	000265__relation_nearest_to_unique_1	images_annotated/000265_000265__relation_nearest_to_unique_1.jpg	Which car is nearest to the person?	623,789	688,822	580,785	773,790
+145	000270__relation_right_of_unique_4	images_annotated/000270_000270__relation_right_of_unique_4.jpg	Which car is to the right of the white car?	822,769	808,777	762,792	1688,1078
+146	000270__leftmost_in_class_2	images_annotated/000270_000270__leftmost_in_class_2.jpg	Point to the leftmost car in the line of traffic.	662,832	570,784	762,792	808,777
+147	000270__unique_class_3	images_annotated/000270_000270__unique_class_3.jpg	Where is the person standing on the sidewalk?	570,784	662,832	762,792	340,777
+148	000275__leftmost_in_class_1	images_annotated/000275_000275__leftmost_in_class_1.jpg	Point to the leftmost car in the line of traffic.	624,849	748,798	803,781	819,772
+149	000275__relation_nearest_to_unique_4	images_annotated/000275_000275__relation_nearest_to_unique_4.jpg	Find the car nearest to the road sign.	803,781	820,772	748,798	624,849
+150	000275__quadrant_hint_0	images_annotated/000275_000275__quadrant_hint_0.jpg	Where is the person located in the lower-left portion of the image?	317,778	624,849	748,798	803,781
+151	000280__largest_in_class_0	images_annotated/000280_000280__largest_in_class_0.jpg	Which car is the largest in the scene?	794,784	733,803	570,871	1693,1079
+152	000280__leftmost_in_class_2	images_annotated/000280_000280__leftmost_in_class_2.jpg	Find the leftmost car in the line of traffic.	733,803	570,870	794,784	1693,1079
+153	000280__quadrant_hint_1	images_annotated/000280_000280__quadrant_hint_1.jpg	Point to the road sign in the lower right section.	1173,684	794,784	733,803	570,871
+154	000285__largest_in_class_4	images_annotated/000285_000285__largest_in_class_4.jpg	Which car is the largest in the scene?	811,777	788,789	1695,1079	709,812
+155	000285__leftmost_in_class_1	images_annotated/000285_000285__leftmost_in_class_1.jpg	Point to the black car on the left side of the road.	484,908	709,812	788,789	811,777
+156	000285__quadrant_hint_2	images_annotated/000285_000285__quadrant_hint_2.jpg	Where is the road sign in the lower right quadrant?	811,777	788,789	709,812	1185,684
+157	000290__largest_in_class_0	images_annotated/000290_000290__largest_in_class_0.jpg	Find the largest car in the image.	807,783	778,796	684,824	1699,1079
+158	000290__leftmost_in_class_4	images_annotated/000290_000290__leftmost_in_class_4.jpg	Point to the leftmost car.	336,982	684,824	778,796	807,783
+159	000290__smallest_in_class_1	images_annotated/000290_000290__smallest_in_class_1.jpg	Find the smallest car.	778,796	806,783	684,824	336,982
+160	000295__rightmost_in_class_1	images_annotated/000295_000295__rightmost_in_class_1.jpg	Which car is the rightmost one in the scene?	801,783	769,799	658,833	1705,1079
+161	000295__pair_size_3	images_annotated/000295_000295__pair_size_3.jpg	Which road sign is larger than the other one?	1212,679	517,818	326,575	658,833
+162	000295__pair_size_0	images_annotated/000295_000295__pair_size_0.jpg	Which road sign is smaller than the other one?	1212,679	326,575	801,783	769,799
+163	000300__largest_in_class_2	images_annotated/000300_000300__largest_in_class_2.jpg	Point to the largest car in the scene.	800,782	1711,1079	755,800	619,841
+164	000300__smallest_in_class_0	images_annotated/000300_000300__smallest_in_class_0.jpg	Point to the smallest road sign in the scene.	1230,670	299,563	1710,1079	1356,643
+165	000300__leftmost_in_class_4	images_annotated/000300_000300__leftmost_in_class_4.jpg	Find the black car on the far left of the road.	454,821	619,841	755,800	161,1012
+166	000305__leftmost_in_class_1	images_annotated/000305_000305__leftmost_in_class_1.jpg	Point to the leftmost car in the line of traffic.	568,858	746,802	392,831	797,783
+167	000305__unique_class_3	images_annotated/000305_000305__unique_class_3.jpg	Point to the person group on the sidewalk.	106,758	269,555	392,830	568,858
+168	000305__relation_nearest_to_unique_2	images_annotated/000305_000305__relation_nearest_to_unique_2.jpg	Find the road sign nearest to the person group.	1250,664	269,555	1394,631	105,758
+169	000310__closest_to_center_3	images_annotated/000310_000310__closest_to_center_3.jpg	Where is the road sign closest to the center of the image?	1273,657	1438,617	235,544	836,761
+170	000310__rightmost_in_class_4	images_annotated/000310_000310__rightmost_in_class_4.jpg	Point to the road sign that is farthest to the right.	1273,657	235,544	1438,617	1800,718
+171	000310__closest_to_center_2	images_annotated/000310_000310__closest_to_center_2.jpg	Point to the car closest to the center of the image.	791,785	835,761	729,810	678,784
+172	000315__leftmost_in_class_4	images_annotated/000315_000315__leftmost_in_class_4.jpg	Point to the leftmost car in the scene.	346,951	590,804	616,784	660,788
+173	000315__largest_in_class_8	images_annotated/000315_000315__largest_in_class_8.jpg	Tap the largest car in the image.	1810,713	1732,1079	835,762	784,786
+174	000315__quadrant_hint_0	images_annotated/000315_000315__quadrant_hint_0.jpg	Point to the green street sign on the left.	1298,648	196,534	1492,602	345,952
+175	000320__largest_in_class_1	images_annotated/000320_000320__largest_in_class_1.jpg	Find the largest car on the left side of the road.	530,817	234,1014	599,785	686,828
+176	000320__bottommost_in_class_0	images_annotated/000320_000320__bottommost_in_class_0.jpg	Point to the white car on the far right.	1818,709	774,791	1740,1073	686,828
+177	000320__quadrant_hint_3	images_annotated/000320_000320__quadrant_hint_3.jpg	Where is the green street sign on the left side of the road?	1327,639	1556,581	530,817	152,519
+178	000325__largest_in_class_4	images_annotated/000325_000325__largest_in_class_4.jpg	Which car is the largest and on the far right?	1827,704	830,760	1747,1070	812,768
+179	000325__bottommost_in_class_5	images_annotated/000325_000325__bottommost_in_class_5.jpg	Where is the road sign that is lowest in the frame?	1636,554	1361,626	101,502	1827,704
+180	000325__leftmost_in_class_1	images_annotated/000325_000325__leftmost_in_class_1.jpg	Find the red car on the far left side of the road.	397,813	479,825	581,780	115,1015
+181	000330__largest_in_class_3	images_annotated/000330_000330__largest_in_class_3.jpg	Which car is the largest in the image?	1836,702	1757,1071	827,762	806,771
+182	000330__quadrant_hint_1	images_annotated/000330_000330__quadrant_hint_1.jpg	Point to the road sign on the left side of the street.	46,485	1403,615	1736,525	368,818
+183	000330__rightmost_in_class_2	images_annotated/000330_000330__rightmost_in_class_2.jpg	Find the rightmost road sign.	1403,615	1736,525	46,485	1836,702
+184	000335__leftmost_in_class_1	images_annotated/000335_000335__leftmost_in_class_1.jpg	Point to the leftmost car in the line of traffic.	344,851	524,908	735,810	800,778
+185	000335__bottommost_in_class_3	images_annotated/000335_000335__bottommost_in_class_3.jpg	Tap the car that is at the bottom of the image.	1845,704	1768,1075	824,767	800,778
+186	000335__pair_size_2	images_annotated/000335_000335__pair_size_2.jpg	Find the larger of the two road signs.	15,466	1845,704	1452,605	1768,1075
+187	000340__bottommost_in_class_1	images_annotated/000340_000340__bottommost_in_class_1.jpg	Which car is at the bottom of the image?	388,978	220,860	616,799	718,819
+188	000340__leftmost_in_class_2	images_annotated/000340_000340__leftmost_in_class_2.jpg	Point to the leftmost car in the image.	388,978	616,799	718,819	221,860
+189	000340__relation_nearest_to_unique_5	images_annotated/000340_000340__relation_nearest_to_unique_5.jpg	Find the car nearest to the road sign.	823,765	1855,698	794,777	718,819
+190	000345__largest_in_class_0	images_annotated/000345_000345__largest_in_class_0.jpg	Which car is the largest in the scene?	568,808	267,1020	697,827	787,778
+191	000345__rightmost_in_class_4	images_annotated/000345_000345__rightmost_in_class_4.jpg	Which car is the rightmost in the scene?	820,763	1866,694	787,778	697,827
+192	000345__unique_class_5	images_annotated/000345_000345__unique_class_5.jpg	Point to the road sign.	1867,694	820,763	1590,561	787,778
+193	000350__largest_in_class_6	images_annotated/000350_000350__largest_in_class_6.jpg	Find the largest car in the image.	161,1014	279,824	409,816	534,815
+194	000350__smallest_in_class_1	images_annotated/000350_000350__smallest_in_class_1.jpg	Which car is the smallest in the scene?	780,779	820,764	669,837	534,815
+195	000350__relation_nearest_to_unique_7	images_annotated/000350_000350__relation_nearest_to_unique_7.jpg	Which car is nearest to the road sign?	819,764	780,779	1878,693	669,837
+196	000355__smallest_in_class_2	images_annotated/000355_000355__smallest_in_class_2.jpg	Which car is the smallest one in the image?	774,780	818,764	629,855	489,826
+197	000355__quadrant_hint_6	images_annotated/000355_000355__quadrant_hint_6.jpg	Point to the car in the lower right corner.	1889,689	818,764	774,780	629,855
+198	000355__quadrant_hint_1	images_annotated/000355_000355__quadrant_hint_1.jpg	Find the sign in the upper right corner of the image.	1890,689	818,764	774,780	1807,491
+199	000360__largest_in_class_6	images_annotated/000360_000360__largest_in_class_6.jpg	Where is the largest car in the image?	425,831	572,881	727,772	769,781
+200	000360__rightmost_in_class_1	images_annotated/000360_000360__rightmost_in_class_1.jpg	Which car is the rightmost one in the scene?	817,763	804,768	1901,685	769,781
+201	000360__leftmost_in_class_0	images_annotated/000360_000360__leftmost_in_class_0.jpg	Point to the black truck parked on the far left.	338,825	142,850	425,831	572,881
+202	000365__bottommost_in_class_2	images_annotated/000365_000365__bottommost_in_class_2.jpg	Where is the car that is lowest in the frame?	289,814	474,927	690,779	723,770
+203	000365__quadrant_hint_8	images_annotated/000365_000365__quadrant_hint_8.jpg	Point to the car on the far right edge of the image.	816,761	802,766	1907,680	763,780
+204	000365__leftmost_in_class_0	images_annotated/000365_000365__leftmost_in_class_0.jpg	Point to the black pickup truck parked on the left.	289,814	474,927	119,854	690,779
+205	000370__largest_in_class_4	images_annotated/000370_000370__largest_in_class_4.jpg	Point to the largest car on the road.	303,1020	51,759	615,793	678,779
+206	000370__leftmost_in_class_5	images_annotated/000370_000370__leftmost_in_class_5.jpg	Which car is positioned furthest to the left?	303,1019	615,793	52,759	678,779
+207	000370__smallest_in_class_3	images_annotated/000370_000370__smallest_in_class_3.jpg	Find the smallest car in the image.	716,769	678,779	756,780	798,765
+208	000375__largest_in_class_3	images_annotated/000375_000375__largest_in_class_3.jpg	Point to the largest car on the left side of the road.	236,1015	571,803	669,782	747,785
+209	000380__leftmost_in_class_4	images_annotated/000380_000380__leftmost_in_class_4.jpg	Point to the leftmost car in the scene.	150,884	391,817	542,810	617,780
+210	000385__largest_in_class_0	images_annotated/000385_000385__largest_in_class_0.jpg	Which car on the left is the largest?	360,823	106,846	508,818	578,785
+211	000385__smallest_in_class_5	images_annotated/000385_000385__smallest_in_class_5.jpg	Find the smallest car among the group on the right.	578,785	605,781	646,790	508,818
+212	000390__largest_in_class_0	images_annotated/000390_000390__largest_in_class_0.jpg	Which car is the largest in the scene?	467,826	324,828	558,789	64,854
+213	000390__leftmost_in_class_1	images_annotated/000390_000390__leftmost_in_class_1.jpg	Point to the leftmost car on the road.	324,828	467,826	558,789	63,854
+214	000390__smallest_in_class_2	images_annotated/000390_000390__smallest_in_class_2.jpg	Find the smallest car in the image.	779,773	710,800	804,764	632,792
+215	000395__largest_in_class_3	images_annotated/000395_000395__largest_in_class_3.jpg	Find the largest car in the line of traffic.	538,797	278,835	617,797	415,838
+216	000395__leftmost_in_class_4	images_annotated/000395_000395__leftmost_in_class_4.jpg	Where is the leftmost car in the traffic line?	415,838	538,797	617,797	278,835
+217	000395__smallest_in_class_0	images_annotated/000395_000395__smallest_in_class_0.jpg	Point to the smallest car on the road.	773,777	692,810	803,767	617,797
+218	000400__leftmost_in_class_7	images_annotated/000400_000400__leftmost_in_class_7.jpg	Tap the leftmost car in the image.	344,856	479,777	515,801	228,846
+219	000400__closest_to_center_1	images_annotated/000400_000400__closest_to_center_1.jpg	Point to the car closest to the center of the image.	765,783	803,769	668,821	597,802
+220	000400__smallest_in_class_5	images_annotated/000400_000400__smallest_in_class_5.jpg	Find the smallest car in the image.	515,801	597,802	478,777	344,856
+221	000405__smallest_in_class_6	images_annotated/000405_000405__smallest_in_class_6.jpg	Find the smallest car on the road.	757,788	799,770	634,835	568,808
+222	000405__largest_in_class_1	images_annotated/000405_000405__largest_in_class_1.jpg	Which car is the largest in the scene?	164,857	446,778	495,806	250,874
+223	000405__leftmost_in_class_3	images_annotated/000405_000405__leftmost_in_class_3.jpg	Point to the leftmost car in the image.	250,874	446,778	163,858	495,806
+224	000410__leftmost_in_class_6	images_annotated/000410_000410__leftmost_in_class_6.jpg	Where is the leftmost car in the image?	429,773	156,906	475,811	587,857
+225	000410__closest_to_center_2	images_annotated/000410_000410__closest_to_center_2.jpg	Find the car closest to the center of the image.	750,793	709,778	797,773	587,857
+226	000410__smallest_in_class_1	images_annotated/000410_000410__smallest_in_class_1.jpg	Point to the smallest car in the scene.	708,778	750,793	797,773	587,857
+227	000415__closest_bottom_edge_4	images_annotated/000415_000415__closest_bottom_edge_4.jpg	Which car is closest to the bottom edge of the frame?	118,852	412,777	88,907	514,885
+228	000415__closest_to_center_0	images_annotated/000415_000415__closest_to_center_0.jpg	Find the car closest to the center of the image.	738,798	681,778	795,776	653,794
+229	000415__largest_in_class_3	images_annotated/000415_000415__largest_in_class_3.jpg	Where is the largest car in the image?	412,777	515,885	653,794	681,778
+230	000420__largest_in_class_3	images_annotated/000420_000420__largest_in_class_3.jpg	Point to the largest car in the scene.	626,797	392,939	676,779	60,872
+231	000420__closest_to_center_2	images_annotated/000420_000420__closest_to_center_2.jpg	Which car is closest to the center of the image?	726,806	676,779	626,797	795,779
+232	000420__leftmost_in_class_5	images_annotated/000420_000420__leftmost_in_class_5.jpg	Which car is the leftmost one in the image?	391,938	626,797	60,872	676,779
+233	000425__smallest_in_class_0	images_annotated/000425_000425__smallest_in_class_0.jpg	Point to the smallest car in the scene.	787,780	710,813	607,805	501,832
+234	000425__largest_in_class_4	images_annotated/000425_000425__largest_in_class_4.jpg	Tap the largest car on the road.	501,832	607,805	710,813	250,1020
+235	000430__smallest_in_class_4	images_annotated/000430_000430__smallest_in_class_4.jpg	Where is the smallest car on the road?	688,822	587,811	781,788	435,845
+236	000430__leftmost_in_class_1	images_annotated/000430_000430__leftmost_in_class_1.jpg	Point to the leftmost car in the image.	435,845	150,1019	587,811	688,822
+237	000435__rightmost_in_class_2	images_annotated/000435_000435__rightmost_in_class_2.jpg	Point to the car that is farthest to the right.	776,792	661,836	560,819	379,863
+238	000435__largest_in_class_3	images_annotated/000435_000435__largest_in_class_3.jpg	Where is the largest car in the image?	378,863	560,819	661,836	776,792
+239	000440__closest_right_edge_4	images_annotated/000440_000440__closest_right_edge_4.jpg	Find the car closest to the right edge of the image.	770,796	723,779	621,858	522,826
+240	000440__leftmost_in_class_0	images_annotated/000440_000440__leftmost_in_class_0.jpg	Point to the leftmost car on the road.	475,820	307,882	522,826	621,858
+241	000440__smallest_in_class_5	images_annotated/000440_000440__smallest_in_class_5.jpg	Where is the smallest car in the image?	770,796	621,858	724,779	522,826
+242	000445__largest_in_class_1	images_annotated/000445_000445__largest_in_class_1.jpg	Find the largest car in the scene.	438,826	207,904	562,882	687,796
+243	000445__closest_right_edge_0	images_annotated/000445_000445__closest_right_edge_0.jpg	Point to the car closest to the right edge of the road.	718,783	687,796	762,800	562,882
+244	000445__smallest_in_class_3	images_annotated/000445_000445__smallest_in_class_3.jpg	Tap the smallest car in the image.	687,796	718,783	763,800	562,882
+245	000450__leftmost_in_class_2	images_annotated/000450_000450__leftmost_in_class_2.jpg	Which car is on the far left of the scene?	465,918	148,932	666,799	756,804
+246	000450__closest_to_center_1	images_annotated/000450_000450__closest_to_center_1.jpg	Where is the car closest to the center of the road?	666,799	465,918	147,932	756,804
+247	000450__smallest_in_class_0	images_annotated/000450_000450__smallest_in_class_0.jpg	Point to the smallest car on the road.	756,804	465,918	666,799	147,932
+248	000455__rightmost_in_class_2	images_annotated/000455_000455__rightmost_in_class_2.jpg	Where is the rightmost car on the road?	650,803	747,808	569,801	288,994
+249	000455__leftmost_in_class_0	images_annotated/000455_000455__leftmost_in_class_0.jpg	Point to the leftmost car in the image.	569,801	650,803	746,808	288,994
+250	000455__smallest_in_class_1	images_annotated/000455_000455__smallest_in_class_1.jpg	Find the smallest car on the road.	568,801	650,803	746,808	288,994
+251	000460__closest_to_center_5	images_annotated/000460_000460__closest_to_center_5.jpg	Tap the car closest to the center of the image.	635,806	547,803	733,813	471,812
+252	000460__largest_in_class_0	images_annotated/000460_000460__largest_in_class_0.jpg	Which car is the largest in the scene?	414,843	471,812	211,1027	547,803
+253	000460__smallest_in_class_2	images_annotated/000460_000460__smallest_in_class_2.jpg	Find the smallest car on the road.	471,812	635,806	414,843	547,803
+254	000465__largest_in_class_3	images_annotated/000465_000465__largest_in_class_3.jpg	Find the largest car in the line of traffic.	294,877	198,785	439,819	67,868
+255	000465__rightmost_in_class_6	images_annotated/000465_000465__rightmost_in_class_6.jpg	Tap the car that is farthest to the right on the road.	614,809	528,804	718,819	439,819
+256	000465__smallest_in_class_4	images_annotated/000465_000465__smallest_in_class_4.jpg	Where is the smallest car on the road?	614,809	528,804	439,819	718,819
+257	000470__closest_to_center_1	images_annotated/000470_000470__closest_to_center_1.jpg	Find the car closest to the center of the image.	699,826	589,812	776,791	508,809
+258	000470__largest_in_class_5	images_annotated/000470_000470__largest_in_class_5.jpg	Where is the largest car in the image?	349,832	198,894	409,824	508,809
+259	000475__smallest_in_class_2	images_annotated/000475_000475__smallest_in_class_2.jpg	Point to the smallest car in the scene.	766,793	674,835	560,815	482,810
+260	000475__leftmost_in_class_4	images_annotated/000475_000475__leftmost_in_class_4.jpg	Where is the leftmost car in the image?	281,834	136,918	374,828	482,810
+261	000480__bottommost_in_class_6	images_annotated/000480_000480__bottommost_in_class_6.jpg	Where is the bottommost car in the scene?	102,774	77,906	206,853	335,831
+262	000480__largest_in_class_0	images_annotated/000480_000480__largest_in_class_0.jpg	Which car is the largest in the scene?	641,846	753,796	519,819	455,812
+263	000480__smallest_in_class_7	images_annotated/000480_000480__smallest_in_class_7.jpg	Tap the smallest car in the image.	206,853	76,906	335,831	102,774
+264	000485__topmost_in_class_3	images_annotated/000485_000485__topmost_in_class_3.jpg	Where is the highest car in the frame?	738,801	424,816	595,867	286,836
+265	000485__closest_to_center_5	images_annotated/000485_000485__closest_to_center_5.jpg	Find the car closest to the center of the image.	596,867	424,816	286,836	737,801
+266	000485__leftmost_in_class_0	images_annotated/000485_000485__leftmost_in_class_0.jpg	Point to the leftmost car parked on the street.	54,792	117,860	286,836	424,816
+267	000490__bottommost_in_class_0	images_annotated/000490_000490__bottommost_in_class_0.jpg	Point to the car that is lowest in the frame.	717,809	781,762	233,846	528,899
+268	000490__rightmost_in_class_3	images_annotated/000490_000490__rightmost_in_class_3.jpg	Which car is positioned at the far right of the image?	781,762	717,809	1876,680	528,899
+269	000490__leftmost_in_class_2	images_annotated/000490_000490__leftmost_in_class_2.jpg	Find the car that is farthest to the left.	233,846	84,872	528,899	717,809
+270	000495__relation_right_of_unique_3	images_annotated/000495_000495__relation_right_of_unique_3.jpg	Find the car to the right of the rider.	776,763	1891,679	691,820	416,949
+271	000495__relation_nearest_to_unique_0	images_annotated/000495_000495__relation_nearest_to_unique_0.jpg	Point to the car closest to the rider.	691,820	416,949	776,762	160,854
+272	000495__quadrant_hint_1	images_annotated/000495_000495__quadrant_hint_1.jpg	Point to the rider on the right side of the road.	776,763	1154,735	691,820	1892,679
+273	000500__largest_in_class_0	images_annotated/000500_000500__largest_in_class_0.jpg	Which car is the largest in the scene?	656,837	292,1017	739,774	772,765
+274	000500__relation_nearest_to_unique_3	images_annotated/000500_000500__relation_nearest_to_unique_3.jpg	Which car is nearest to the rider?	739,774	656,837	291,1017	772,765
+275	000500__quadrant_hint_2	images_annotated/000500_000500__quadrant_hint_2.jpg	Where is the person on the bike located in the lower right?	1173,739	772,765	739,774	656,837
+276	000505__largest_in_class_9	images_annotated/000505_000505__largest_in_class_9.jpg	Tap the largest car in the image.	498,823	232,1025	611,851	728,776
+277	000505__rightmost_in_class_1	images_annotated/000505_000505__rightmost_in_class_1.jpg	Which car is the rightmost one in the scene?	767,766	728,776	1853,683	611,851
+278	000505__closest_left_edge_3	images_annotated/000505_000505__closest_left_edge_3.jpg	Where is the rider closest to the left edge of the road?	1158,743	1197,740	1159,772	1197,770
+279	000510__leftmost_in_class_2	images_annotated/000510_000510__leftmost_in_class_2.jpg	Point to the leftmost car in the image.	231,879	98,988	298,832	420,841
+280	000510__quadrant_hint_6	images_annotated/000510_000510__quadrant_hint_6.jpg	Where is the car in the lower right corner?	1866,681	762,768	720,778	692,788
+281	000510__closest_right_edge_5	images_annotated/000510_000510__closest_right_edge_5.jpg	Find the cyclist closest to the right edge of the road.	1184,775	1224,739	1182,743	1225,772
+282	000515__largest_in_class_5	images_annotated/000515_000515__largest_in_class_5.jpg	Where is the largest car in the line of traffic?	673,790	490,902	713,780	229,850
+283	000515__leftmost_in_class_0	images_annotated/000515_000515__leftmost_in_class_0.jpg	Point to the black car on the far left.	88,910	229,850	489,902	673,790
+284	000515__rightmost_in_class_2	images_annotated/000515_000515__rightmost_in_class_2.jpg	Where is the white car on the far right edge of the image?	1880,681	758,769	713,780	673,790
+285	000520__quadrant_hint_1	images_annotated/000520_000520__quadrant_hint_1.jpg	Where is the car on the far right edge of the image?	1895,678	754,769	705,781	651,793
+286	000520__pair_left_right_0	images_annotated/000520_000520__pair_left_right_0.jpg	Point to the rider on the right.	1241,739	1292,775	1290,735	1243,779
+287	000520__largest_in_class_2	images_annotated/000520_000520__largest_in_class_2.jpg	Point to the largest cyclist in the scene.	1243,779	1290,735	1241,739	1292,775
+288	000525__quadrant_hint_1	images_annotated/000525_000525__quadrant_hint_1.jpg	Tap the car in the lower right corner of the image.	745,771	1905,676	697,784	637,799
+289	000525__pair_left_right_0	images_annotated/000525_000525__pair_left_right_0.jpg	Point to the rider on the left side of the pair.	1337,736	1283,782	1281,740	1338,778
+290	000530__smallest_in_class_0	images_annotated/000530_000530__smallest_in_class_0.jpg	Find the cyclist who is the smallest in the group.	1396,781	1332,786	1328,740	1392,731
+291	000530__rightmost_in_class_1	images_annotated/000530_000530__rightmost_in_class_1.jpg	Where is the rightmost cyclist on the road?	1332,786	1392,731	1396,781	1328,740
+292	000535__leftmost_in_class_0	images_annotated/000535_000535__leftmost_in_class_0.jpg	Point to the leftmost car in the traffic.	451,836	602,806	676,789	296,836
+293	000535__rightmost_in_class_1	images_annotated/000535_000535__rightmost_in_class_1.jpg	Where is the rightmost cyclist on the road?	1396,791	1466,722	1469,783	1389,731
+294	000535__pair_size_2	images_annotated/000535_000535__pair_size_2.jpg	Tap the smaller cyclist on the left side of the pair.	1396,791	1468,783	1389,731	1466,722
+295	000540__smallest_in_class_3	images_annotated/000540_000540__smallest_in_class_3.jpg	Where is the smallest car in the line?	662,791	579,812	726,777	391,849
+296	000540__leftmost_in_class_0	images_annotated/000540_000540__leftmost_in_class_0.jpg	Point to the leftmost car in the line of traffic.	391,849	579,812	662,791	238,843
+297	000540__largest_in_class_2	images_annotated/000540_000540__largest_in_class_2.jpg	Find the largest car in the traffic line.	392,849	238,844	579,812	662,791
+298	000545__largest_in_class_0	images_annotated/000545_000545__largest_in_class_0.jpg	Which car on the left is the largest?	162,854	556,817	648,796	309,867
+299	000545__leftmost_in_class_1	images_annotated/000545_000545__leftmost_in_class_1.jpg	Point to the leftmost car on the road.	161,854	310,867	556,817	648,796
+300	000545__pair_size_2	images_annotated/000545_000545__pair_size_2.jpg	Find the smaller of the two riders on the right.	1590,727	1678,718	1688,787	1594,802
+301	000550__rightmost_in_class_1	images_annotated/000550_000550__rightmost_in_class_1.jpg	Which rider is on the far right?	1749,718	1854,788	1756,807	1839,701
+302	000550__smallest_in_class_0	images_annotated/000550_000550__smallest_in_class_0.jpg	Which cyclist is the smallest in the group?	1757,807	1854,788	1749,718	1840,701
+303	000555__leftmost_in_class_2	images_annotated/000555_000555__leftmost_in_class_2.jpg	Which car is the leftmost?	138,912	489,830	614,805	667,778
+304	000555__largest_in_class_1	images_annotated/000555_000555__largest_in_class_1.jpg	Which person is the largest?	335,784	315,794	489,830	139,912
+305	000555__smallest_in_class_4	images_annotated/000555_000555__smallest_in_class_4.jpg	Which person is the smallest?	314,794	489,830	334,784	139,912
+306	000560__largest_in_class_5	images_annotated/000560_000560__largest_in_class_5.jpg	Where is the largest car on the left side of the road?	67,907	444,839	594,807	654,778
+307	000560__closest_to_center_0	images_annotated/000560_000560__closest_to_center_0.jpg	Point to the person standing closest to the center of the image.	282,802	305,785	227,783	444,839
+308	000560__leftmost_in_class_6	images_annotated/000560_000560__leftmost_in_class_6.jpg	Where is the person standing closest to the left edge of the image?	227,783	282,802	305,785	67,907
+309	000565__largest_in_class_1	images_annotated/000565_000565__largest_in_class_1.jpg	Find the largest car on the road.	508,801	644,778	388,849	677,785
+310	000565__leftmost_in_class_0	images_annotated/000565_000565__leftmost_in_class_0.jpg	Point to the person on the far left of the group.	246,791	268,784	387,849	182,795
+311	000565__smallest_in_class_5	images_annotated/000565_000565__smallest_in_class_5.jpg	Where is the smallest car on the road?	643,778	677,785	508,801	387,849
+312	000570__leftmost_in_class_1	images_annotated/000570_000570__leftmost_in_class_1.jpg	Which car is the leftmost?	473,808	543,819	309,866	664,789
+313	000570__pair_size_0	images_annotated/000570_000570__pair_size_0.jpg	Which person is the larger of the two?	132,800	221,780	310,866	473,808
+314	000570__pair_size_2	images_annotated/000570_000570__pair_size_2.jpg	Which person is the smaller of the two?	133,800	221,780	310,866	473,808
+315	000575__relation_nearest_to_unique_6	images_annotated/000575_000575__relation_nearest_to_unique_6.jpg	Find the car closest to the person.	435,811	510,826	207,888	579,790
+316	000575__unique_class_5	images_annotated/000575_000575__unique_class_5.jpg	Where is the person standing on the sidewalk?	207,888	435,811	510,826	73,791
+317	000580__largest_in_class_1	images_annotated/000580_000580__largest_in_class_1.jpg	Tap the largest car in the scene.	470,834	558,794	142,917	634,797
+318	000580__closest_to_center_0	images_annotated/000580_000580__closest_to_center_0.jpg	Where is the car closest to the center of the road?	634,797	558,794	693,773	470,834
+319	000585__leftmost_in_class_0	images_annotated/000585_000585__leftmost_in_class_0.jpg	Find the leftmost car in the scene.	419,842	75,906	535,797	615,800
+320	000585__smallest_in_class_5	images_annotated/000585_000585__smallest_in_class_5.jpg	Where is the smallest car on the road?	689,773	615,800	664,777	535,797
+321	000590__leftmost_in_class_3	images_annotated/000590_000590__leftmost_in_class_3.jpg	Which car is the leftmost one in the line of traffic?	508,798	353,856	593,805	658,779
+322	000590__rightmost_in_class_2	images_annotated/000590_000590__rightmost_in_class_2.jpg	Find the car that is furthest to the right in the scene.	685,773	658,779	593,805	1860,692
+323	000590__unique_class_6	images_annotated/000590_000590__unique_class_6.jpg	Where is the person standing on the sidewalk?	354,856	508,798	15,786	593,805
+324	000595__largest_in_class_4	images_annotated/000595_000595__largest_in_class_4.jpg	Which car is the largest in the image?	487,805	568,814	267,875	653,782
+325	000595__closest_to_center_6	images_annotated/000595_000595__closest_to_center_6.jpg	Point to the car closest to the center of the image.	720,771	682,776	653,782	568,814
+326	000595__rightmost_in_class_0	images_annotated/000595_000595__rightmost_in_class_0.jpg	Find the car that is furthest to the right on the road.	720,771	682,776	1878,694	653,782
+327	000600__leftmost_in_class_3	images_annotated/000600_000600__leftmost_in_class_3.jpg	Where is the leftmost car on the road?	346,823	163,897	461,809	535,821
+328	000600__smallest_in_class_1	images_annotated/000600_000600__smallest_in_class_1.jpg	Find the smallest car in the image.	678,777	646,782	613,787	1899,693
+329	000600__closest_to_center_6	images_annotated/000600_000600__closest_to_center_6.jpg	Point to the car closest to the center of the image.	678,777	646,782	613,787	535,821
+330	000605__largest_in_class_6	images_annotated/000605_000605__largest_in_class_6.jpg	Which car on the left is the largest?	106,906	270,835	427,808	495,827
+331	000610__largest_in_class_1	images_annotated/000610_000610__largest_in_class_1.jpg	Which car is the largest on the left side of the road?	175,839	441,837	582,787	632,782
+332	000615__relation_nearest_to_unique_8	images_annotated/000615_000615__relation_nearest_to_unique_8.jpg	Point to the car nearest to the person.	370,847	570,787	117,849	623,781
+333	000615__rightmost_in_class_3	images_annotated/000615_000615__rightmost_in_class_3.jpg	Find the car that is furthest to the right on the road.	726,765	714,767	696,770	1670,707
+334	000615__largest_in_class_4	images_annotated/000615_000615__largest_in_class_4.jpg	Which car is the largest in the image?	570,787	117,849	371,847	623,781
+335	000620__leftmost_in_class_6	images_annotated/000620_000620__leftmost_in_class_6.jpg	Which car is the leftmost one in the image?	77,843	270,867	555,789	613,782
+336	000620__closest_bottom_edge_3	images_annotated/000620_000620__closest_bottom_edge_3.jpg	Find the car closest to the bottom edge of the image.	76,844	271,867	555,789	613,782
+337	000620__quadrant_hint_5	images_annotated/000620_000620__quadrant_hint_5.jpg	Point to the person standing near the cars on the left.	157,773	76,844	270,867	555,789
+338	000625__leftmost_in_class_7	images_annotated/000625_000625__leftmost_in_class_7.jpg	Where is the leftmost car parked on the side of the road?	331,816	163,903	539,793	601,784
+339	000625__smallest_in_class_6	images_annotated/000625_000625__smallest_in_class_6.jpg	Point to the smallest car parked on the left side of the road.	704,768	683,773	649,776	726,766
+340	000630__largest_in_class_5	images_annotated/000630_000630__largest_in_class_5.jpg	Find the largest car on the left side of the road.	257,833	94,901	519,798	588,789
+341	000630__smallest_in_class_0	images_annotated/000630_000630__smallest_in_class_0.jpg	Point to the smallest car parked on the left side.	699,770	677,774	640,779	722,767
+342	000635__largest_in_class_3	images_annotated/000635_000635__largest_in_class_3.jpg	Point to the largest car parked on the left side of the road.	496,802	571,790	171,841	630,780
+343	000635__unique_class_2	images_annotated/000635_000635__unique_class_2.jpg	Find the person standing on the far left near the cars.	10,787	171,841	496,802	571,790
+344	000635__smallest_in_class_0	images_annotated/000635_000635__smallest_in_class_0.jpg	Point to the smallest car on the left side of the road.	692,771	669,776	716,768	630,780
+345	000640__leftmost_in_class_2	images_annotated/000640_000640__leftmost_in_class_2.jpg	Point to the leftmost car parked on the street.	471,808	109,854	554,793	618,785
+346	000640__smallest_in_class_5	images_annotated/000640_000640__smallest_in_class_5.jpg	Find the smallest car among the group on the right side of the road.	710,769	685,772	660,778	618,785
+347	000645__largest_in_class_0	images_annotated/000645_000645__largest_in_class_0.jpg	Which car on the left is the largest?	441,809	534,797	604,788	71,851
+348	000645__smallest_in_class_6	images_annotated/000645_000645__smallest_in_class_6.jpg	Find the smallest car parked on the right side of the road.	677,775	650,780	604,788	705,771
+349	000650__leftmost_in_class_1	images_annotated/000650_000650__leftmost_in_class_1.jpg	Where is the leftmost car parked along the street?	510,801	407,819	589,790	639,781
+350	000650__closest_bottom_edge_3	images_annotated/000650_000650__closest_bottom_edge_3.jpg	Point to the road sign that is closest to the bottom edge of the image.	309,672	408,819	307,696	510,801
+351	000650__closest_top_edge_7	images_annotated/000650_000650__closest_top_edge_7.jpg	Tap the road sign that is closest to the top edge of the image.	309,672	308,695	408,819	510,801
+352	000655__largest_in_class_2	images_annotated/000655_000655__largest_in_class_2.jpg	Point to the largest car parked on the left side of the road.	485,806	369,820	531,768	574,793
+353	000655__closest_top_edge_3	images_annotated/000655_000655__closest_top_edge_3.jpg	Where is the road sign that is closest to the top edge of the image?	261,666	261,692	369,820	485,806
+354	000655__bottommost_in_class_5	images_annotated/000655_000655__bottommost_in_class_5.jpg	Point to the road sign that is lowest on the image.	262,666	369,820	261,692	485,806
+355	000660__leftmost_in_class_5	images_annotated/000660_000660__leftmost_in_class_5.jpg	Where is the leftmost car parked along the side of the road?	456,812	323,829	557,796	615,786
+356	000660__smallest_in_class_2	images_annotated/000660_000660__smallest_in_class_2.jpg	Which car is the smallest one parked on the left side of the road?	684,776	650,780	615,786	557,796
+357	000660__bottommost_in_class_6	images_annotated/000660_000660__bottommost_in_class_6.jpg	Point to the road sign that is lowest on the image.	208,659	323,829	456,812	205,688
+358	000665__largest_in_class_3	images_annotated/000665_000665__largest_in_class_3.jpg	Find the largest car parked on the left side of the street.	269,837	423,817	471,770	537,801
+359	000665__topmost_in_class_0	images_annotated/000665_000665__topmost_in_class_0.jpg	Which road sign is the highest in the image?	144,683	269,837	146,652	423,817
+360	000665__bottommost_in_class_1	images_annotated/000665_000665__bottommost_in_class_1.jpg	Where is the lowest road sign in the scene?	146,652	269,837	423,817	144,683
+361	000670__leftmost_in_class_7	images_annotated/000670_000670__leftmost_in_class_7.jpg	Point to the leftmost car parked on the street.	384,826	205,847	441,774	516,804
+362	000670__relation_nearest_to_unique_2	images_annotated/000670_000670__relation_nearest_to_unique_2.jpg	Find the car closest to the stop sign.	666,780	628,786	584,794	672,764
+363	000670__unique_class_1	images_annotated/000670_000670__unique_class_1.jpg	Point to the red stop sign in the distance.	1012,693	672,764	666,780	628,786
+364	000675__largest_in_class_4	images_annotated/000675_000675__largest_in_class_4.jpg	Which car on the left is the largest in the image?	337,834	134,859	420,775	493,811
+365	000675__relation_nearest_to_unique_2	images_annotated/000675_000675__relation_nearest_to_unique_2.jpg	Find the car that is closest to the stop sign.	657,785	617,791	664,767	567,799
+366	000675__quadrant_hint_0	images_annotated/000675_000675__quadrant_hint_0.jpg	Where is the stop sign located in the lower right portion of the image?	1016,692	665,767	657,785	617,791
+367	000680__leftmost_in_class_6	images_annotated/000680_000680__leftmost_in_class_6.jpg	Where is the leftmost car in the image?	282,845	398,779	466,817	96,875
+368	000680__relation_right_of_unique_4	images_annotated/000680_000680__relation_right_of_unique_4.jpg	Find the car to the right of the red stop sign.	658,770	646,790	1630,705	602,795
+369	000680__relation_nearest_to_unique_2	images_annotated/000680_000680__relation_nearest_to_unique_2.jpg	Point to the car nearest to the white building on the left.	646,790	659,770	602,795	547,804
+370	000685__largest_in_class_3	images_annotated/000685_000685__largest_in_class_3.jpg	Find the largest car parked on the left side of the road.	54,870	375,772	217,852	437,821
+371	000685__quadrant_hint_8	images_annotated/000685_000685__quadrant_hint_8.jpg	Point to the car in the lower right corner of the image.	651,767	636,786	588,794	1638,702
+372	000685__leftmost_in_class_0	images_annotated/000685_000685__leftmost_in_class_0.jpg	Point to the leftmost car parked on the street.	54,870	217,852	375,772	437,821
+373	000690__largest_in_class_0	images_annotated/000690_000690__largest_in_class_0.jpg	Which car on the left is the largest?	348,766	404,824	503,807	140,862
+374	000690__relation_right_of_unique_7	images_annotated/000690_000690__relation_right_of_unique_7.jpg	Find the car to the right of the red stop sign.	645,767	625,789	572,796	1645,700
+375	000690__unique_class_6	images_annotated/000690_000690__unique_class_6.jpg	Where is the only stop sign in the scene?	645,767	625,789	1027,684	572,796
+376	000695__smallest_in_class_3	images_annotated/000695_000695__smallest_in_class_3.jpg	Find the smallest car in the image.	1655,698	639,767	613,788	556,796
+377	000695__relation_nearest_to_unique_4	images_annotated/000695_000695__relation_nearest_to_unique_4.jpg	Which car is closest to the stop sign?	613,788	556,796	639,767	478,810
+378	000695__unique_class_0	images_annotated/000695_000695__unique_class_0.jpg	Point to the red stop sign on the pole.	639,767	613,788	556,796	1033,681
+379	000700__largest_in_class_3	images_annotated/000700_000700__largest_in_class_3.jpg	Point to the largest car parked on the left side of the road.	323,831	450,812	536,799	67,861
+380	000700__relation_nearest_to_unique_4	images_annotated/000700_000700__relation_nearest_to_unique_4.jpg	Find the car nearest to the stop sign.	601,789	536,799	634,764	450,812
+381	000700__relation_right_of_unique_0	images_annotated/000700_000700__relation_right_of_unique_0.jpg	Point to the car on the far right of the road.	633,764	601,789	536,799	1665,696
+382	000705__leftmost_in_class_2	images_annotated/000705_000705__leftmost_in_class_2.jpg	Point to the leftmost car in the line of parked vehicles.	418,812	516,798	586,785	273,832
+383	000705__relation_right_of_unique_0	images_annotated/000705_000705__relation_right_of_unique_0.jpg	Point to the car on the far right of the road.	627,761	1674,692	586,785	516,798
+384	000705__unique_class_3	images_annotated/000705_000705__unique_class_3.jpg	Find the red stop sign on the right side of the road.	627,761	586,785	516,798	1044,670
+385	000710__leftmost_in_class_5	images_annotated/000710_000710__leftmost_in_class_5.jpg	Which car is the leftmost one parked on the side of the road?	213,841	379,820	490,802	570,790
+386	000710__rightmost_in_class_7	images_annotated/000710_000710__rightmost_in_class_7.jpg	Find the rightmost car in the image.	1684,694	1607,703	1860,678	826,757
+387	000710__unique_class_4	images_annotated/000710_000710__unique_class_4.jpg	Point to the red stop sign on the right side of the road.	826,757	1050,669	621,763	570,790
+388	000715__largest_in_class_0	images_annotated/000715_000715__largest_in_class_0.jpg	Point to the largest car parked on the left.	144,848	337,824	466,807	553,792
+389	000715__rightmost_in_class_9	images_annotated/000715_000715__rightmost_in_class_9.jpg	Tap the car parked at the far right edge of the road.	1694,695	1618,704	1874,679	823,758
+390	000715__unique_class_8	images_annotated/000715_000715__unique_class_8.jpg	Where is the stop sign located?	823,758	614,763	553,792	1058,667
+391	000720__leftmost_in_class_9	images_annotated/000720_000720__leftmost_in_class_9.jpg	Tap the car that is farthest to the left in the scene.	215,756	283,830	106,855	437,809
+392	000720__relation_nearest_to_unique_1	images_annotated/000720_000720__relation_nearest_to_unique_1.jpg	Find the car that is nearest to the red stop sign.	793,757	607,764	536,794	820,760
+393	000720__unique_class_2	images_annotated/000720_000720__unique_class_2.jpg	Where is the red stop sign on the right side of the road?	820,760	793,757	1066,665	607,764
+394	000725__largest_in_class_6	images_annotated/000725_000725__largest_in_class_6.jpg	Find the largest car parked on the left side of the road.	337,776	64,849	407,812	221,838
+395	000725__leftmost_in_class_3	images_annotated/000725_000725__leftmost_in_class_3.jpg	Point to the leftmost car parked on the street.	220,838	337,776	63,849	407,812
+396	000725__unique_class_9	images_annotated/000725_000725__unique_class_9.jpg	Where is the red stop sign located?	817,761	790,759	601,765	1075,663
+397	000730__largest_in_class_3	images_annotated/000730_000730__largest_in_class_3.jpg	Find the largest car parked on the left side of the road.	295,779	148,848	374,818	458,770
+398	000730__relation_nearest_to_unique_8	images_annotated/000730_000730__relation_nearest_to_unique_8.jpg	Point to the car that is nearest to the red stop sign.	786,761	594,767	535,766	814,765
+399	000730__quadrant_hint_12	images_annotated/000730_000730__quadrant_hint_12.jpg	Tap the red stop sign located in the lower right quadrant.	814,765	786,761	1085,662	594,767
+400	000735__leftmost_in_class_9	images_annotated/000735_000735__leftmost_in_class_9.jpg	Where is the leftmost car parked on the side of the road?	267,779	336,825	106,858	444,770
+401	000735__relation_nearest_to_unique_1	images_annotated/000735_000735__relation_nearest_to_unique_1.jpg	Find the car that is closest to the stop sign.	782,762	587,767	526,766	810,766
+402	000735__quadrant_hint_0	images_annotated/000735_000735__quadrant_hint_0.jpg	Where is the red stop sign located on the right side of the road?	1096,657	810,766	782,762	587,767
+403	000740__largest_in_class_0	images_annotated/000740_000740__largest_in_class_0.jpg	Which car on the left is the largest?	136,777	69,849	197,774	228,773
+404	000740__relation_nearest_to_unique_13	images_annotated/000740_000740__relation_nearest_to_unique_13.jpg	Which car is closest to the stop sign?	780,761	581,766	808,766	519,764
+405	000740__quadrant_hint_12	images_annotated/000740_000740__quadrant_hint_12.jpg	Tap the red stop sign on the right side of the road.	808,766	1110,652	780,761	581,766
+406	000745__rightmost_in_class_13	images_annotated/000745_000745__rightmost_in_class_13.jpg	Tap the car that is farthest to the right.	1686,711	1761,704	804,767	776,761
+407	000745__largest_in_class_11	images_annotated/000745_000745__largest_in_class_11.jpg	Find the largest car in the image.	171,769	363,770	244,831	88,774
+408	000745__unique_class_3	images_annotated/000745_000745__unique_class_3.jpg	Find the only stop sign in the image.	1121,647	804,767	776,761	734,762
+409	000750__relation_nearest_to_unique_0	images_annotated/000750_000750__relation_nearest_to_unique_0.jpg	Point to the car nearest to the stop sign.	773,760	567,764	505,763	801,769
+410	000750__largest_in_class_5	images_annotated/000750_000750__largest_in_class_5.jpg	Find the largest car parked on the left side of the road.	188,835	63,772	341,769	394,809
+411	000750__leftmost_in_class_4	images_annotated/000750_000750__leftmost_in_class_4.jpg	Which car is the leftmost one parked on the street?	189,835	341,769	63,772	394,809
+412	000755__largest_in_class_10	images_annotated/000755_000755__largest_in_class_10.jpg	Find the largest car in the scene.	36,771	257,770	326,767	127,841
+413	000755__relation_nearest_to_unique_11	images_annotated/000755_000755__relation_nearest_to_unique_11.jpg	Point to the car nearest to the stop sign.	795,769	768,760	560,763	498,761
+414	000755__rightmost_in_class_0	images_annotated/000755_000755__rightmost_in_class_0.jpg	Point to the rightmost car in the image.	1711,710	795,769	1784,702	768,760
+415	000760__leftmost_in_class_9	images_annotated/000760_000760__leftmost_in_class_9.jpg	Find the car that is farthest to the left on the road.	218,767	309,765	329,814	100,845
+416	000760__relation_nearest_to_unique_8	images_annotated/000760_000760__relation_nearest_to_unique_8.jpg	Which car is closest to the stop sign?	790,769	824,755	764,758	727,758
+417	000760__unique_class_7	images_annotated/000760_000760__unique_class_7.jpg	Find the red octagonal stop sign on the right side of the road.	823,755	790,769	764,758	1171,626
+418	000765__largest_in_class_9	images_annotated/000765_000765__largest_in_class_9.jpg	Point to the largest car on the left side of the road.	69,840	156,776	191,768	292,818
+419	000765__rightmost_in_class_4	images_annotated/000765_000765__rightmost_in_class_4.jpg	Point to the car on the far right of the road.	1735,711	820,757	784,773	1809,703
+420	000765__quadrant_hint_5	images_annotated/000765_000765__quadrant_hint_5.jpg	Where is the stop sign located on the right side of the road?	820,757	784,773	1190,620	758,760
+421	000770__largest_in_class_7	images_annotated/000770_000770__largest_in_class_7.jpg	Find the largest car in the image.	252,829	169,770	366,765	108,784
+422	000770__relation_nearest_to_unique_9	images_annotated/000770_000770__relation_nearest_to_unique_9.jpg	Point to the car nearest to the stop sign.	777,779	820,760	721,763	540,766
+423	000770__quadrant_hint_11	images_annotated/000770_000770__quadrant_hint_11.jpg	Point to the road sign in the lower right quadrant.	820,760	777,779	1213,616	721,763
+424	000775__bottommost_in_class_3	images_annotated/000775_000775__bottommost_in_class_3.jpg	Where is the car that is lowest on the road?	207,830	141,769	275,765	70,779
+425	000775__relation_nearest_to_unique_12	images_annotated/000775_000775__relation_nearest_to_unique_12.jpg	Which car is nearest to the red stop sign?	771,782	818,760	719,763	534,766
+426	000775__leftmost_in_class_0	images_annotated/000775_000775__leftmost_in_class_0.jpg	Point to the leftmost car on the road.	141,769	207,830	275,765	69,779
+427	000780__largest_in_class_15	images_annotated/000780_000780__largest_in_class_15.jpg	Find the largest car in the image.	116,758	159,836	256,766	54,777
+428	000780__relation_nearest_to_unique_11	images_annotated/000780_000780__relation_nearest_to_unique_11.jpg	Which car is nearest to the stop sign?	761,786	818,761	716,763	527,766
+429	000780__unique_class_5	images_annotated/000780_000780__unique_class_5.jpg	Point to the red stop sign on the right side of the road.	818,761	1771,717	1261,600	761,786
+430	000785__bottommost_in_class_6	images_annotated/000785_000785__bottommost_in_class_6.jpg	Where is the bottommost car in the image?	92,747	37,771	115,839	239,766
+431	000785__leftmost_in_class_7	images_annotated/000785_000785__leftmost_in_class_7.jpg	Point to the leftmost car in the scene.	92,747	36,771	116,839	239,766
+432	000785__rightmost_in_class_1	images_annotated/000785_000785__rightmost_in_class_1.jpg	Point to the rightmost car in the scene.	1782,718	1853,711	817,762	749,791
+433	000790__largest_in_class_5	images_annotated/000790_000790__largest_in_class_5.jpg	Which car on the left is the largest?	74,739	216,764	94,842	320,763
+434	000790__rightmost_in_class_7	images_annotated/000790_000790__rightmost_in_class_7.jpg	Which car is on the far right side of the road?	1862,711	1793,718	817,761	734,796
+435	000790__unique_class_8	images_annotated/000790_000790__unique_class_8.jpg	Where is the only stop sign in the scene?	1793,718	1317,581	817,761	1862,711
+436	000795__bottommost_in_class_7	images_annotated/000795_000795__bottommost_in_class_7.jpg	Which car is at the bottom of the frame?	59,751	199,764	73,838	308,763
+437	000795__rightmost_in_class_12	images_annotated/000795_000795__rightmost_in_class_12.jpg	Tap the car that is farthest to the right.	1804,717	816,761	771,760	1872,711
+438	000795__unique_class_6	images_annotated/000795_000795__unique_class_6.jpg	Point to the stop sign.	1804,717	1348,569	1872,711	816,761
+439	000800__relation_nearest_to_unique_9	images_annotated/000800_000800__relation_nearest_to_unique_9.jpg	Which car is nearest to the stop sign?	1882,713	816,762	768,761	1814,718
+440	000800__closest_to_center_7	images_annotated/000800_000800__closest_to_center_7.jpg	Find the car that is closest to the center of the image.	816,762	768,761	694,814	502,765
+441	000800__closest_bottom_edge_4	images_annotated/000800_000800__closest_bottom_edge_4.jpg	Which car is closest to the bottom edge of the image?	49,758	185,764	48,840	298,763
+442	000805__relation_nearest_to_unique_4	images_annotated/000805_000805__relation_nearest_to_unique_4.jpg	Which car is closest to the stop sign?	1892,710	817,761	1824,718	765,760
+443	000805__largest_in_class_3	images_annotated/000805_000805__largest_in_class_3.jpg	Find the largest car on the road.	662,827	736,767	765,760	817,761
+444	000805__rightmost_in_class_0	images_annotated/000805_000805__rightmost_in_class_0.jpg	Point to the rightmost car in the image.	1824,718	817,761	765,760	1891,710
+445	000810__leftmost_in_class_4	images_annotated/000810_000810__leftmost_in_class_4.jpg	Which car is the leftmost one in the image?	157,760	278,760	323,758	33,761
+446	000810__relation_nearest_to_unique_7	images_annotated/000810_000810__relation_nearest_to_unique_7.jpg	Find the car closest to the stop sign.	1897,713	1834,718	815,761	763,760
+447	000810__unique_class_8	images_annotated/000810_000810__unique_class_8.jpg	Where is the stop sign located?	1834,718	1897,713	1453,531	815,761
+448	000815__largest_in_class_0	images_annotated/000815_000815__largest_in_class_0.jpg	Which car is the largest in the scene?	470,761	551,875	412,758	713,768
+449	000815__leftmost_in_class_3	images_annotated/000815_000815__leftmost_in_class_3.jpg	Find the car that is farthest to the left.	267,759	315,758	142,760	338,748
+450	000815__closest_to_center_11	images_annotated/000815_000815__closest_to_center_11.jpg	Which car is closest to the center of the image?	762,760	713,768	551,875	812,761
+451	000820__bottommost_in_class_1	images_annotated/000820_000820__bottommost_in_class_1.jpg	Where is the bottommost car?	330,751	303,756	434,933	256,762
+452	000820__leftmost_in_class_0	images_annotated/000820_000820__leftmost_in_class_0.jpg	Point to the leftmost car in the scene.	256,762	303,756	330,751	127,762
+453	000820__unique_class_3	images_annotated/000820_000820__unique_class_3.jpg	Point to the only road sign in the image.	1849,722	1530,507	1904,714	812,764
+454	000825__largest_in_class_0	images_annotated/000825_000825__largest_in_class_0.jpg	Which car is the largest in the scene?	481,771	695,778	265,1016	756,768
+455	000825__closest_to_center_6	images_annotated/000825_000825__closest_to_center_6.jpg	Tap the car closest to the center of the road.	756,768	810,768	695,778	481,771
+456	000825__rightmost_in_class_3	images_annotated/000825_000825__rightmost_in_class_3.jpg	Where is the rightmost car on the road?	1907,719	1856,725	1799,726	810,768
+457	000830__relation_nearest_to_unique_8	images_annotated/000830_000830__relation_nearest_to_unique_8.jpg	Find the car that is nearest to the red stop sign.	1909,720	808,770	754,769	1862,726
+458	000830__closest_to_center_2	images_annotated/000830_000830__closest_to_center_2.jpg	Point to the car closest to the center of the image.	808,770	754,769	683,781	465,771
+459	000830__unique_class_10	images_annotated/000830_000830__unique_class_10.jpg	Where is the only road sign in the scene?	1862,726	1620,475	1909,720	808,770
+460	000835__largest_in_class_5	images_annotated/000835_000835__largest_in_class_5.jpg	Where is the largest car on the road?	380,762	459,770	340,766	307,755
+461	000835__rightmost_in_class_8	images_annotated/000835_000835__rightmost_in_class_8.jpg	Tap the rightmost car in the image.	806,768	752,767	1868,724	713,765
+462	000835__smallest_in_class_4	images_annotated/000835_000835__smallest_in_class_4.jpg	Find the smallest car in the scene.	752,767	673,782	806,768	712,765
+463	000840__quadrant_hint_9	images_annotated/000840_000840__quadrant_hint_9.jpg	Tap the car in the lower right corner of the image.	804,764	750,763	1876,720	711,760
+464	000840__leftmost_in_class_6	images_annotated/000840_000840__leftmost_in_class_6.jpg	Point to the leftmost car on the road.	213,759	65,759	266,759	299,750
+465	000840__unique_class_8	images_annotated/000840_000840__unique_class_8.jpg	Where is the only stop sign in the scene?	1876,720	804,764	750,763	1732,428
+466	000845__quadrant_hint_1	images_annotated/000845_000845__quadrant_hint_1.jpg	Where is the car in the lower right quadrant?	802,765	748,763	1884,721	709,760
+467	000845__unique_class_5	images_annotated/000845_000845__unique_class_5.jpg	Point to the only road sign in the image.	1793,403	1883,721	802,765	748,763
+468	000845__closest_to_center_0	images_annotated/000845_000845__closest_to_center_0.jpg	Point to the car closest to the center of the image.	748,763	709,760	695,763	803,765
+469	000850__rightmost_in_class_9	images_annotated/000850_000850__rightmost_in_class_9.jpg	Which car is the rightmost one in the image?	1826,722	800,765	1891,720	746,764
+470	000850__closest_to_center_13	images_annotated/000850_000850__closest_to_center_13.jpg	Which car is closest to the center of the image?	746,764	801,765	707,760	689,763
+471	000850__quadrant_hint_10	images_annotated/000850_000850__quadrant_hint_10.jpg	Point to the road sign in the upper right quadrant.	1891,720	1826,722	800,765	1860,376
+472	000855__leftmost_in_class_1	images_annotated/000855_000855__leftmost_in_class_1.jpg	Point to the leftmost car on the road.	183,756	241,755	279,736	42,756
+473	000855__closest_bottom_edge_9	images_annotated/000855_000855__closest_bottom_edge_9.jpg	Which car is closest to the bottom edge of the frame?	614,785	686,761	706,757	745,761
+474	000855__rightmost_in_class_5	images_annotated/000855_000855__rightmost_in_class_5.jpg	Where is the rightmost car in the image?	1831,719	799,763	1897,718	745,761
+475	000860__largest_in_class_8	images_annotated/000860_000860__largest_in_class_8.jpg	Which car has the largest area in the image?	593,788	685,762	705,758	744,762
+476	000860__closest_to_center_10	images_annotated/000860_000860__closest_to_center_10.jpg	Which car is closest to the center of the image?	744,762	705,758	685,762	797,762
+477	000860__leftmost_in_class_7	images_annotated/000860_000860__leftmost_in_class_7.jpg	Point to the leftmost car in the image.	174,756	36,756	235,755	286,760
+478	000865__bottommost_in_class_9	images_annotated/000865_000865__bottommost_in_class_9.jpg	Point to the car that is lowest in the image.	684,759	705,756	428,760	570,789
+479	000865__leftmost_in_class_4	images_annotated/000865_000865__leftmost_in_class_4.jpg	Where is the leftmost car on the road?	167,753	227,752	33,753	274,757
+480	000865__smallest_in_class_2	images_annotated/000865_000865__smallest_in_class_2.jpg	Find the smallest car in the image.	705,756	684,759	743,759	797,761
+481	000870__largest_in_class_8	images_annotated/000870_000870__largest_in_class_8.jpg	Find the largest car in the image.	543,796	425,760	683,759	704,756
+482	000870__leftmost_in_class_0	images_annotated/000870_000870__leftmost_in_class_0.jpg	Which car is the leftmost one in the image?	159,753	222,748	261,758	25,753
+483	000870__rightmost_in_class_12	images_annotated/000870_000870__rightmost_in_class_12.jpg	Point to the rightmost car in the image.	1847,717	795,762	1907,715	778,752
+484	000875__bottommost_in_class_3	images_annotated/000875_000875__bottommost_in_class_3.jpg	Find the car that is lowest in the frame.	420,761	682,762	513,804	334,756
+485	000875__leftmost_in_class_9	images_annotated/000875_000875__leftmost_in_class_9.jpg	Where is the car on the far left side of the road?	19,754	152,755	213,746	249,760
+486	000875__rightmost_in_class_8	images_annotated/000875_000875__rightmost_in_class_8.jpg	Point to the car on the far right edge of the image.	1851,719	1910,717	794,764	742,761
+487	000880__largest_in_class_10	images_annotated/000880_000880__largest_in_class_10.jpg	Point to the largest car visible in the image.	399,761	329,755	472,811	294,751
+488	000880__closest_to_center_4	images_annotated/000880_000880__closest_to_center_4.jpg	Point to the car closest to the center of the image.	742,762	704,758	682,762	793,766
+489	000880__quadrant_hint_6	images_annotated/000880_000880__quadrant_hint_6.jpg	Find the car in the lower right quadrant of the image.	1855,719	793,766	742,762	704,758
+490	000885__bottommost_in_class_6	images_annotated/000885_000885__bottommost_in_class_6.jpg	Where is the car that is lowest in the frame?	326,755	289,750	224,761	428,818
+491	000885__leftmost_in_class_3	images_annotated/000885_000885__leftmost_in_class_3.jpg	Point to the leftmost car in the image.	140,756	13,755	224,761	289,750
+492	000885__quadrant_hint_10	images_annotated/000885_000885__quadrant_hint_10.jpg	Point to the car in the lower right quadrant.	1859,719	791,766	742,763	705,759
+493	000890__largest_in_class_8	images_annotated/000890_000890__largest_in_class_8.jpg	Find the largest car in the image.	288,747	210,761	132,757	372,831
+494	000890__rightmost_in_class_1	images_annotated/000890_000890__rightmost_in_class_1.jpg	Which car is the rightmost one in the image?	1862,719	790,767	741,764	705,759
+495	000890__leftmost_in_class_0	images_annotated/000890_000890__leftmost_in_class_0.jpg	Point to the leftmost car in the scene.	210,761	288,747	132,757	372,831
+496	000895__bottommost_in_class_2	images_annotated/000895_000895__bottommost_in_class_2.jpg	Which car is closest to the bottom of the frame?	189,761	450,766	300,843	127,757
+497	000895__rightmost_in_class_7	images_annotated/000895_000895__rightmost_in_class_7.jpg	Point to the car on the far right of the road.	789,769	1866,719	741,765	705,761
+498	000895__leftmost_in_class_1	images_annotated/000895_000895__leftmost_in_class_1.jpg	Point to the white car on the far left.	127,757	189,761	300,844	450,766
+499	000900__largest_in_class_5	images_annotated/000900_000900__largest_in_class_5.jpg	Which car is the largest in the scene?	423,766	209,864	682,764	705,761
+500	000900__rightmost_in_class_6	images_annotated/000900_000900__rightmost_in_class_6.jpg	Which car is the rightmost one in the image?	787,770	741,765	1866,719	705,761
+501	000905__leftmost_in_class_7	images_annotated/000905_000905__leftmost_in_class_7.jpg	Where is the leftmost car in the scene?	325,759	156,885	410,767	682,765
+502	000905__quadrant_hint_2	images_annotated/000905_000905__quadrant_hint_2.jpg	Point to the car on the far right of the road.	786,772	740,767	705,762	1868,720
+503	000910__largest_in_class_8	images_annotated/000910_000910__largest_in_class_8.jpg	Where is the largest car in the image?	254,758	288,750	320,759	108,878
+504	000910__rightmost_in_class_5	images_annotated/000910_000910__rightmost_in_class_5.jpg	Find the car that is furthest to the right in the image.	784,773	1870,719	739,766	705,762
+505	000915__leftmost_in_class_1	images_annotated/000915_000915__leftmost_in_class_1.jpg	Point to the leftmost car in the image.	198,760	136,767	225,743	258,759
+506	000915__largest_in_class_2	images_annotated/000915_000915__largest_in_class_2.jpg	Find the largest car in the image.	321,760	289,751	409,768	258,759
+507	000915__quadrant_hint_8	images_annotated/000915_000915__quadrant_hint_8.jpg	Where is the car on the far right of the image?	782,773	739,767	705,763	1870,719
+508	000920__quadrant_hint_9	images_annotated/000920_000920__quadrant_hint_9.jpg	Find the car on the far right side of the road.	1872,720	779,775	738,767	704,763
+509	000920__leftmost_in_class_1	images_annotated/000920_000920__leftmost_in_class_1.jpg	Point to the leftmost car in the row of parked vehicles.	196,760	117,768	225,743	262,760
+510	000925__largest_in_class_0	images_annotated/000925_000925__largest_in_class_0.jpg	Which car is the largest in the image?	196,759	224,743	248,749	100,768
+511	000925__rightmost_in_class_5	images_annotated/000925_000925__rightmost_in_class_5.jpg	Where is the rightmost car in the image?	777,776	737,768	705,763	1872,719
+512	000930__leftmost_in_class_12	images_annotated/000930_000930__leftmost_in_class_12.jpg	Tap the car that is closest to the left edge of the road.	151,762	81,770	196,760	226,744
+513	000930__quadrant_hint_8	images_annotated/000930_000930__quadrant_hint_8.jpg	Point to the car on the far right side of the road.	774,777	736,769	1874,719	706,764
+514	000935__largest_in_class_2	images_annotated/000935_000935__largest_in_class_2.jpg	Which car on the left is the largest?	144,763	65,770	196,762	226,745
+515	000935__rightmost_in_class_8	images_annotated/000935_000935__rightmost_in_class_8.jpg	Find the rightmost car in the image.	1874,720	771,779	734,770	704,765
+516	000940__largest_in_class_2	images_annotated/000940_000940__largest_in_class_2.jpg	Which car is the largest in the scene?	325,763	411,772	277,766	248,753
+517	000940__quadrant_hint_10	images_annotated/000940_000940__quadrant_hint_10.jpg	Find the car on the far right side of the road.	768,783	732,771	1874,720	704,766
+518	000940__leftmost_in_class_5	images_annotated/000940_000940__leftmost_in_class_5.jpg	Point to the leftmost car in the image.	141,763	196,763	56,771	225,750
+519	000945__rightmost_in_class_2	images_annotated/000945_000945__rightmost_in_class_2.jpg	Find the car that is farthest to the right in the image.	1874,720	764,782	730,773	704,766
+520	000945__largest_in_class_5	images_annotated/000945_000945__largest_in_class_5.jpg	Where is the largest car on the road?	325,762	411,772	280,766	249,754
+521	000945__leftmost_in_class_8	images_annotated/000945_000945__leftmost_in_class_8.jpg	Tap the car that is closest to the left edge of the image.	135,764	197,762	225,750	44,771
+522	000950__largest_in_class_5	images_annotated/000950_000950__largest_in_class_5.jpg	Which car is the largest one in the scene?	325,759	283,768	411,772	249,754
+523	000950__quadrant_hint_2	images_annotated/000950_000950__quadrant_hint_2.jpg	Point to the car on the far right side of the road.	794,763	1874,721	759,783	725,772
+524	000950__closest_to_center_12	images_annotated/000950_000950__closest_to_center_12.jpg	Point to the car nearest to the center of the image.	795,762	759,783	725,772	704,766
+525	000955__largest_in_class_4	images_annotated/000955_000955__largest_in_class_4.jpg	Which car is the largest in the image?	327,767	409,772	284,768	248,754
+526	000955__rightmost_in_class_1	images_annotated/000955_000955__rightmost_in_class_1.jpg	Find the car that is farthest to the right in the image.	791,763	1874,720	755,785	722,772
+527	000955__leftmost_in_class_11	images_annotated/000955_000955__leftmost_in_class_11.jpg	Point to the car on the far left side of the road.	127,764	195,764	225,747	21,772
+528	000960__largest_in_class_0	images_annotated/000960_000960__largest_in_class_0.jpg	Find the largest car in the scene.	328,766	286,769	409,773	248,754
+529	000960__quadrant_hint_1	images_annotated/000960_000960__quadrant_hint_1.jpg	Point to the car on the far right side of the road.	1874,720	790,763	749,787	703,766
+530	000960__closest_to_center_3	images_annotated/000960_000960__closest_to_center_3.jpg	Where is the car closest to the center of the image?	749,787	789,762	703,766	683,771
+531	000965__rightmost_in_class_6	images_annotated/000965_000965__rightmost_in_class_6.jpg	Tap the rightmost car in the scene.	789,763	744,788	1876,720	702,761
+532	000965__leftmost_in_class_2	images_annotated/000965_000965__leftmost_in_class_2.jpg	Find the leftmost car in the image.	193,764	123,765	223,747	247,754
+533	000965__largest_in_class_1	images_annotated/000965_000965__largest_in_class_1.jpg	Point to the largest car on the road.	407,773	327,766	288,769	247,754
+534	000970__leftmost_in_class_1	images_annotated/000970_000970__leftmost_in_class_1.jpg	Point to the leftmost car parked on the street.	192,764	221,748	123,765	246,755
+535	000970__largest_in_class_5	images_annotated/000970_000970__largest_in_class_5.jpg	Find the largest car driving in the middle lane.	327,767	407,773	288,770	246,755
+536	000970__rightmost_in_class_10	images_annotated/000970_000970__rightmost_in_class_10.jpg	Which car is positioned at the far right edge of the image?	1876,719	787,763	736,790	680,770
+537	000975__closest_to_center_4	images_annotated/000975_000975__closest_to_center_4.jpg	Which car is closest to the center of the image?	729,794	679,771	406,773	785,764
+538	000975__quadrant_hint_0	images_annotated/000975_000975__quadrant_hint_0.jpg	Point to the car in the lower right quadrant.	786,764	729,794	679,771	1878,720
+539	000975__leftmost_in_class_8	images_annotated/000975_000975__leftmost_in_class_8.jpg	Where is the car that is farthest to the left?	190,764	119,765	220,748	246,755
+540	000980__leftmost_in_class_3	images_annotated/000980_000980__leftmost_in_class_3.jpg	Point to the leftmost car in the row of parked cars on the left.	115,765	187,765	220,748	244,756
+541	000980__largest_in_class_8	images_annotated/000980_000980__largest_in_class_8.jpg	Find the largest car in the scene, which is in the middle of the road.	325,767	403,774	289,771	244,756
+542	000980__quadrant_hint_11	images_annotated/000980_000980__quadrant_hint_11.jpg	Which car is in the lower right quadrant of the image?	1878,719	785,764	765,769	720,797
+543	000985__bottommost_in_class_8	images_annotated/000985_000985__bottommost_in_class_8.jpg	Tap the car that is lowest in the frame.	710,800	760,769	784,764	402,773
+544	000985__quadrant_hint_6	images_annotated/000985_000985__quadrant_hint_6.jpg	Point to the car on the far right side of the road.	784,764	1880,718	760,769	710,800
+545	000985__leftmost_in_class_7	images_annotated/000985_000985__leftmost_in_class_7.jpg	Where is the car closest to the left edge of the road?	184,765	217,747	113,765	242,754
+546	000990__rightmost_in_class_9	images_annotated/000990_000990__rightmost_in_class_9.jpg	Which car is the rightmost one in the image?	783,764	1882,717	758,769	698,803
+547	000990__bottommost_in_class_5	images_annotated/000990_000990__bottommost_in_class_5.jpg	Where is the car that is lowest in the frame?	699,804	758,769	783,764	401,773
+548	000990__leftmost_in_class_0	images_annotated/000990_000990__leftmost_in_class_0.jpg	Which car is the leftmost one in the image?	181,763	215,747	240,754	109,765
+549	000995__largest_in_class_6	images_annotated/000995_000995__largest_in_class_6.jpg	Find the largest car in the image.	685,808	756,768	783,764	398,772
+550	000995__quadrant_hint_7	images_annotated/000995_000995__quadrant_hint_7.jpg	Tap the car in the lower right quadrant of the image.	783,764	756,768	1884,716	685,808
+551	000995__leftmost_in_class_0	images_annotated/000995_000995__leftmost_in_class_0.jpg	Point to the leftmost car in the image.	178,763	213,748	238,753	106,764
+552	001000__bottommost_in_class_7	images_annotated/001000_001000__bottommost_in_class_7.jpg	Point to the car that is lowest on the road.	728,771	755,768	668,814	782,763
+553	001000__rightmost_in_class_3	images_annotated/001000_001000__rightmost_in_class_3.jpg	Find the car that is furthest to the right in the image.	782,763	755,768	728,771	1885,715
+554	001000__leftmost_in_class_6	images_annotated/001000_001000__leftmost_in_class_6.jpg	Where is the car closest to the left edge of the road?	102,765	174,764	210,749	235,754
+555	001005__largest_in_class_9	images_annotated/001005_001005__largest_in_class_9.jpg	Which car is the largest in the image?	720,773	754,768	649,819	781,763
+556	001005__rightmost_in_class_0	images_annotated/001005_001005__rightmost_in_class_0.jpg	Find the rightmost car in the scene.	1887,715	781,763	754,768	720,773
+557	001005__leftmost_in_class_2	images_annotated/001005_001005__leftmost_in_class_2.jpg	Where is the leftmost car on the road?	170,762	96,765	207,748	232,753
+558	001010__bottommost_in_class_6	images_annotated/001010_001010__bottommost_in_class_6.jpg	Where is the car that is lowest in the image?	711,773	752,769	780,763	624,828
+559	001010__quadrant_hint_1	images_annotated/001010_001010__quadrant_hint_1.jpg	Point to the car on the far right of the road.	780,763	752,769	1891,712	711,773
+560	001010__leftmost_in_class_9	images_annotated/001010_001010__leftmost_in_class_9.jpg	Point to the car on the far left of the road.	164,763	90,765	203,750	230,754
+561	001015__largest_in_class_7	images_annotated/001015_001015__largest_in_class_7.jpg	Find the largest car on the road.	593,838	703,773	750,768	779,763
+562	001015__rightmost_in_class_11	images_annotated/001015_001015__rightmost_in_class_11.jpg	Point to the rightmost car in the scene.	779,763	750,768	1893,711	703,773
+563	001015__leftmost_in_class_4	images_annotated/001015_001015__leftmost_in_class_4.jpg	Point to the leftmost car in the image.	84,765	160,764	198,749	227,754
+564	001020__bottommost_in_class_11	images_annotated/001020_001020__bottommost_in_class_11.jpg	Point to the car that is lowest in the frame.	557,850	698,775	385,773	748,768
+565	001020__quadrant_hint_2	images_annotated/001020_001020__quadrant_hint_2.jpg	Point to the car on the far right side of the road.	778,764	1897,711	748,768	698,775
+566	001020__leftmost_in_class_3	images_annotated/001020_001020__leftmost_in_class_3.jpg	Which car is the leftmost one in the row of parked vehicles?	155,765	196,751	224,753	79,766
+567	001025__largest_in_class_7	images_annotated/001025_001025__largest_in_class_7.jpg	Where is the largest car in the scene?	499,870	379,771	693,776	279,776
+568	001025__rightmost_in_class_6	images_annotated/001025_001025__rightmost_in_class_6.jpg	Which car is the furthest to the right on the road?	777,764	1899,710	746,769	693,776
+569	001025__leftmost_in_class_0	images_annotated/001025_001025__leftmost_in_class_0.jpg	Point to the leftmost car in the intersection.	152,765	192,751	71,766	220,755
+570	001030__bottommost_in_class_2	images_annotated/001030_001030__bottommost_in_class_2.jpg	Find the car that is lowest on the road.	271,775	417,902	235,760	215,756
+571	001030__quadrant_hint_3	images_annotated/001030_001030__quadrant_hint_3.jpg	Where is the car on the far right side of the image?	776,766	745,770	686,779	1901,708
+572	001030__leftmost_in_class_10	images_annotated/001030_001030__leftmost_in_class_10.jpg	Point to the car on the far left of the road.	63,767	145,767	187,754	215,756
+573	001035__largest_in_class_0	images_annotated/001035_001035__largest_in_class_0.jpg	Which car is the largest in the scene?	284,951	137,767	58,770	679,782
+574	001035__rightmost_in_class_6	images_annotated/001035_001035__rightmost_in_class_6.jpg	Which car is the furthest to the right?	775,767	1903,708	743,772	679,782
+575	001035__leftmost_in_class_1	images_annotated/001035_001035__leftmost_in_class_1.jpg	Point to the car on the far left of the image.	58,770	137,767	285,952	679,782
+576	001040__leftmost_in_class_0	images_annotated/001040_001040__leftmost_in_class_0.jpg	Find the leftmost car in the image.	397,775	213,1017	672,785	742,775
+577	001040__relation_right_of_unique_2	images_annotated/001040_001040__relation_right_of_unique_2.jpg	Find the car to the right of the person.	773,770	742,775	1903,708	672,785
+578	001040__relation_nearest_to_unique_1	images_annotated/001040_001040__relation_nearest_to_unique_1.jpg	Point to the car nearest to the person.	742,775	672,785	397,775	774,770
+579	001045__rightmost_in_class_3	images_annotated/001045_001045__rightmost_in_class_3.jpg	Tap the rightmost car in the scene.	772,771	1907,708	739,776	662,788
+580	001045__unique_class_8	images_annotated/001045_001045__unique_class_8.jpg	Where is the person in the scene?	772,771	739,776	662,788	1112,767
+581	001045__relation_nearest_to_unique_2	images_annotated/001045_001045__relation_nearest_to_unique_2.jpg	Point to the car nearest to the person.	739,776	662,788	772,771	359,783
+582	001050__largest_in_class_2	images_annotated/001050_001050__largest_in_class_2.jpg	Point to the largest car in the scene.	248,789	351,785	208,767	191,765
+583	001050__leftmost_in_class_7	images_annotated/001050_001050__leftmost_in_class_7.jpg	Where is the leftmost car on the road?	107,776	147,758	40,777	163,761
+584	001050__rightmost_in_class_12	images_annotated/001050_001050__rightmost_in_class_12.jpg	Tap the car that is farthest to the right in the image.	771,773	1908,707	738,778	698,773
+585	001055__largest_in_class_2	images_annotated/001055_001055__largest_in_class_2.jpg	Find the largest car in the scene.	240,791	200,767	344,784	185,765
+586	001055__leftmost_in_class_8	images_annotated/001055_001055__leftmost_in_class_8.jpg	Point to the leftmost car on the road.	96,775	156,761	185,765	36,777
+587	001060__largest_in_class_3	images_annotated/001060_001060__largest_in_class_3.jpg	Find the largest car in the scene.	230,792	176,766	149,759	336,784
+588	001060__leftmost_in_class_4	images_annotated/001060_001060__leftmost_in_class_4.jpg	Point to the leftmost car in the image.	29,779	84,777	119,763	149,759
+589	001065__largest_in_class_5	images_annotated/001065_001065__largest_in_class_5.jpg	Which car is the largest in the scene?	218,792	168,765	328,784	142,760
+590	001065__leftmost_in_class_10	images_annotated/001065_001065__leftmost_in_class_10.jpg	Point to the leftmost car in the image.	73,776	112,762	21,777	142,760
+591	001065__closest_to_center_11	images_annotated/001065_001065__closest_to_center_11.jpg	Find the car closest to the center of the image.	731,777	688,772	670,775	766,771
+592	001070__largest_in_class_10	images_annotated/001070_001070__largest_in_class_10.jpg	Find the largest car in the scene.	204,796	157,766	134,762	319,786
+593	001070__closest_left_edge_11	images_annotated/001070_001070__closest_left_edge_11.jpg	Where is the car closest to the left edge of the frame?	13,778	53,778	103,763	134,762
+594	001070__closest_to_center_0	images_annotated/001070_001070__closest_to_center_0.jpg	Point to the car closest to the center of the image.	762,771	728,777	685,772	662,776
+595	001075__leftmost_in_class_2	images_annotated/001075_001075__leftmost_in_class_2.jpg	Point to the leftmost car in the scene.	96,764	38,778	125,762	145,766
+596	001075__largest_in_class_5	images_annotated/001075_001075__largest_in_class_5.jpg	Find the largest car on the road.	311,787	189,797	145,766	125,762
+597	001075__closest_to_center_6	images_annotated/001075_001075__closest_to_center_6.jpg	Where is the car closest to the center of the image?	725,777	682,772	760,771	652,778
+598	001080__largest_in_class_9	images_annotated/001080_001080__largest_in_class_9.jpg	Tap the largest car in the scene.	650,777	680,771	721,777	538,809
+599	001080__closest_right_edge_0	images_annotated/001080_001080__closest_right_edge_0.jpg	Find the car closest to the right edge of the frame.	760,770	721,777	680,771	801,759
+600	001080__leftmost_in_class_1	images_annotated/001080_001080__leftmost_in_class_1.jpg	Where is the leftmost car in the image?	83,765	31,779	117,762	173,799
+601	001085__leftmost_in_class_10	images_annotated/001085_001085__leftmost_in_class_10.jpg	Tap the leftmost car in the scene.	23,777	73,764	106,759	151,800
+602	001085__largest_in_class_6	images_annotated/001085_001085__largest_in_class_6.jpg	Which car is the largest in the image?	645,777	677,770	718,776	503,813
+603	001085__quadrant_hint_3	images_annotated/001085_001085__quadrant_hint_3.jpg	Find the person on the far right side of the image.	1142,758	798,759	758,769	718,776
+604	001090__largest_in_class_5	images_annotated/001090_001090__largest_in_class_5.jpg	Find the largest car in the image.	642,776	459,821	273,786	674,770
+605	001090__closest_left_edge_2	images_annotated/001090_001090__closest_left_edge_2.jpg	Which car is closest to the left edge of the image?	15,778	62,765	126,804	180,770
+606	001090__quadrant_hint_0	images_annotated/001090_001090__quadrant_hint_0.jpg	Where is the person located in the lower right quadrant?	1065,699	1146,758	796,758	755,769
+607	001095__bottommost_in_class_0	images_annotated/001095_001095__bottommost_in_class_0.jpg	Find the car that is lowest on the road.	257,789	638,778	161,779	401,836
+608	001095__quadrant_hint_5	images_annotated/001095_001095__quadrant_hint_5.jpg	Find the person on the right side of the image.	1068,698	794,760	1152,759	753,770
+609	001100__relation_nearest_to_unique_3	images_annotated/001100_001100__relation_nearest_to_unique_3.jpg	Where is the road sign nearest to the person?	1072,698	792,761	1158,760	750,772
+610	001100__quadrant_hint_2	images_annotated/001100_001100__quadrant_hint_2.jpg	Where is the road sign located in the lower right quadrant?	1071,698	1158,760	792,761	750,772
+611	001105__largest_in_class_7	images_annotated/001105_001105__largest_in_class_7.jpg	Find the largest car on the road.	36,810	628,780	660,772	213,868
+612	001105__leftmost_in_class_0	images_annotated/001105_001105__leftmost_in_class_0.jpg	Point to the leftmost car on the road.	213,868	628,780	36,810	660,772
+613	001105__quadrant_hint_1	images_annotated/001105_001105__quadrant_hint_1.jpg	Point to the person on the right side of the image.	1164,758	1076,695	789,760	747,772
+614	001110__quadrant_hint_1	images_annotated/001110_001110__quadrant_hint_1.jpg	Where is the person located in the lower right section of the image?	1080,693	1169,758	786,761	743,772
+615	001110__unique_class_0	images_annotated/001110_001110__unique_class_0.jpg	Point to the road sign on the right side of the road.	1170,758	786,761	1079,693	743,772
+616	001115__leftmost_in_class_0	images_annotated/001115_001115__leftmost_in_class_0.jpg	Find the leftmost car in the image.	71,901	203,798	617,783	650,773
+617	001115__unique_class_7	images_annotated/001115_001115__unique_class_7.jpg	Where is the person standing on the right side of the road?	1085,695	1177,762	783,764	738,777
+618	001120__unique_class_0	images_annotated/001120_001120__unique_class_0.jpg	Point to the road sign on the right side of the road.	1183,760	779,767	734,779	1091,696
+619	001120__relation_nearest_to_unique_1	images_annotated/001120_001120__relation_nearest_to_unique_1.jpg	Point to the road sign nearest to the person.	1090,696	1173,712	779,767	734,779
+620	001125__largest_in_class_3	images_annotated/001125_001125__largest_in_class_3.jpg	Point to the largest car on the road.	150,804	45,789	602,790	666,793
+621	001125__leftmost_in_class_2	images_annotated/001125_001125__leftmost_in_class_2.jpg	Where is the leftmost car in the scene?	149,804	44,789	602,790	666,793
+622	001125__smallest_in_class_0	images_annotated/001125_001125__smallest_in_class_0.jpg	Find the smallest car in the image.	729,782	666,793	776,769	602,790
+623	001130__largest_in_class_4	images_annotated/001130_001130__largest_in_class_4.jpg	Find the largest car in the image.	25,790	591,792	121,806	654,796
+624	001130__relation_nearest_to_unique_5	images_annotated/001130_001130__relation_nearest_to_unique_5.jpg	Which car is closest to the road sign?	724,784	772,770	654,796	591,792
+625	001130__leftmost_in_class_6	images_annotated/001130_001130__leftmost_in_class_6.jpg	Tap the car that is farthest to the left.	25,789	121,806	591,792	654,796
+626	001135__leftmost_in_class_1	images_annotated/001135_001135__leftmost_in_class_1.jpg	Which car is the leftmost in the scene?	580,793	639,800	718,785	96,806
+627	001135__relation_nearest_to_unique_5	images_annotated/001135_001135__relation_nearest_to_unique_5.jpg	Find the car nearest to the road sign.	718,785	639,800	766,772	580,793
+628	001135__quadrant_hint_0	images_annotated/001135_001135__quadrant_hint_0.jpg	Where is the road sign in the lower right quadrant?	1207,770	766,772	718,785	1108,696
+629	001140__quadrant_hint_2	images_annotated/001140_001140__quadrant_hint_2.jpg	Find the person on the right side of the road.	1217,771	1114,694	761,774	711,787
+630	001140__relation_nearest_to_unique_3	images_annotated/001140_001140__relation_nearest_to_unique_3.jpg	Where is the person nearest to the road sign?	1218,771	1127,710	761,774	711,787
+631	001145__quadrant_hint_3	images_annotated/001145_001145__quadrant_hint_3.jpg	Find the car in the lower right corner of the image.	756,774	706,788	660,781	1665,715
+632	001145__unique_class_5	images_annotated/001145_001145__unique_class_5.jpg	Where is the person standing on the sidewalk?	1233,772	1121,692	1665,715	756,774
+633	001145__relation_nearest_to_unique_0	images_annotated/001145_001145__relation_nearest_to_unique_0.jpg	Which car is nearest to the white van on the left?	706,788	660,781	604,807	756,774
+634	001150__largest_in_class_1	images_annotated/001150_001150__largest_in_class_1.jpg	Which car is the largest?	48,810	582,808	647,782	699,788
+635	001150__quadrant_hint_0	images_annotated/001150_001150__quadrant_hint_0.jpg	Find the car in the lower right corner.	749,774	699,788	647,782	1670,715
+636	001150__unique_class_2	images_annotated/001150_001150__unique_class_2.jpg	Point to the road sign.	1131,688	1244,772	749,774	699,788
+637	001155__smallest_in_class_2	images_annotated/001155_001155__smallest_in_class_2.jpg	Which car is the smallest in the image?	1676,714	745,775	692,790	637,783
+638	001155__unique_class_0	images_annotated/001155_001155__unique_class_0.jpg	Point to the road sign on the pole.	1258,771	745,775	1139,685	692,790
+639	001160__smallest_in_class_2	images_annotated/001160_001160__smallest_in_class_2.jpg	Which car is the smallest in the image?	738,775	685,791	1684,713	631,784
+640	001160__relation_nearest_to_unique_1	images_annotated/001160_001160__relation_nearest_to_unique_1.jpg	Which car is closest to the person?	1151,681	1277,772	1683,713	738,775
+641	001165__largest_in_class_3	images_annotated/001165_001165__largest_in_class_3.jpg	Which car is the largest in the scene?	584,789	623,782	486,823	677,789
+642	001165__relation_nearest_to_unique_5	images_annotated/001165_001165__relation_nearest_to_unique_5.jpg	Which car is nearest to the person?	733,774	677,789	1690,708	623,782
+643	001165__relation_nearest_to_unique_4	images_annotated/001165_001165__relation_nearest_to_unique_4.jpg	Which person is closest to the road sign?	1293,772	733,774	677,789	1180,694
+644	001170__smallest_in_class_2	images_annotated/001170_001170__smallest_in_class_2.jpg	Which car is the smallest in the image?	728,773	669,788	616,781	1697,706
+645	001170__unique_class_1	images_annotated/001170_001170__unique_class_1.jpg	Point to the road sign on the right side of the road.	1181,669	1315,768	728,773	1698,706
+646	001175__largest_in_class_3	images_annotated/001175_001175__largest_in_class_3.jpg	Find the largest car on the road.	371,837	508,795	561,786	607,780
+647	001175__quadrant_hint_6	images_annotated/001175_001175__quadrant_hint_6.jpg	Tap the person standing on the grassy area.	1197,662	1707,704	722,772	1338,765
+648	001180__quadrant_hint_0	images_annotated/001180_001180__quadrant_hint_0.jpg	Point to the car on the far right side of the road.	716,773	1713,701	653,791	598,781
+649	001180__unique_class_1	images_annotated/001180_001180__unique_class_1.jpg	Where is the road sign located?	1366,767	1713,701	716,773	1219,656
+650	001185__leftmost_in_class_1	images_annotated/001185_001185__leftmost_in_class_1.jpg	Find the leftmost car in the image.	462,802	171,878	539,790	588,784
+651	001185__rightmost_in_class_3	images_annotated/001185_001185__rightmost_in_class_3.jpg	Point to the rightmost car in the scene.	1724,701	769,762	710,774	641,794
+652	001185__smallest_in_class_4	images_annotated/001185_001185__smallest_in_class_4.jpg	Find the smallest car on the road.	710,774	641,794	588,784	770,762
+653	001190__pair_size_4	images_annotated/001190_001190__pair_size_4.jpg	Which of the two road signs is larger?	1269,639	1264,592	1431,764	1734,697
+654	001190__smallest_in_class_3	images_annotated/001190_001190__smallest_in_class_3.jpg	Which car is the smallest one in the image?	703,773	766,760	629,793	577,782
+655	001190__unique_class_5	images_annotated/001190_001190__unique_class_5.jpg	Where is the only person in the scene?	1430,764	1270,639	1264,592	1734,697
+656	001195__leftmost_in_class_4	images_annotated/001195_001195__leftmost_in_class_4.jpg	Which car is the leftmost in the image?	424,804	514,789	564,783	614,797
+657	001195__relation_nearest_to_unique_1	images_annotated/001195_001195__relation_nearest_to_unique_1.jpg	Find the road sign that is nearest to the person.	1295,580	1472,765	1302,630	1744,697
+658	001200__leftmost_in_class_1	images_annotated/001200_001200__leftmost_in_class_1.jpg	Point to the leftmost car in the line of traffic.	500,796	548,788	599,804	399,811
+659	001200__pair_size_6	images_annotated/001200_001200__pair_size_6.jpg	Which of the two road signs is larger?	1332,570	1518,772	1338,624	1755,700
+660	001200__relation_nearest_to_unique_8	images_annotated/001200_001200__relation_nearest_to_unique_8.jpg	Which car is nearest to the person?	1755,700	759,766	726,763	688,780
+661	001205__pair_size_2	images_annotated/001205_001205__pair_size_2.jpg	Which of the two road signs is the larger one?	1374,553	1382,615	1569,777	1766,699
+662	001205__smallest_in_class_8	images_annotated/001205_001205__smallest_in_class_8.jpg	Find the smallest road sign in the image.	1383,614	1569,777	1375,553	1766,699
+663	001210__rightmost_in_class_0	images_annotated/001210_001210__rightmost_in_class_0.jpg	Point to the rightmost car in the scene.	751,768	1776,700	721,766	668,784
+664	001210__pair_size_2	images_annotated/001210_001210__pair_size_2.jpg	Find the larger of the two road signs.	1426,535	1632,774	1776,700	1436,600
+665	001215__quadrant_hint_2	images_annotated/001215_001215__quadrant_hint_2.jpg	Find the car on the far right side of the road.	746,768	718,766	1788,699	656,786
+666	001215__relation_nearest_to_unique_0	images_annotated/001215_001215__relation_nearest_to_unique_0.jpg	Which sign is closest to the person on the sidewalk?	1500,583	1488,511	1706,775	1788,699
+667	001220__rightmost_in_class_2	images_annotated/001220_001220__rightmost_in_class_2.jpg	Which car is the rightmost one in the scene?	741,767	1807,696	715,763	644,786
+668	001220__relation_nearest_to_unique_6	images_annotated/001220_001220__relation_nearest_to_unique_6.jpg	Which road sign is closest to the person?	1576,561	1563,479	1806,696	1788,774
+669	001220__unique_class_5	images_annotated/001220_001220__unique_class_5.jpg	Point to the person walking on the sidewalk.	1806,696	1788,774	1577,560	1563,479
+670	001225__largest_in_class_2	images_annotated/001225_001225__largest_in_class_2.jpg	Find the largest car on the road.	374,803	453,829	564,781	629,788
+671	001225__leftmost_in_class_1	images_annotated/001225_001225__leftmost_in_class_1.jpg	Which car is the leftmost one in the image?	374,803	453,829	244,823	564,781
+672	001225__quadrant_hint_3	images_annotated/001225_001225__quadrant_hint_3.jpg	Where is the heavy truck located in the lower right quadrant?	736,767	713,763	678,769	1048,733
+673	001230__largest_in_class_4	images_annotated/001230_001230__largest_in_class_4.jpg	Find the largest car in the image.	405,842	512,791	550,784	195,830
+674	001230__relation_nearest_to_unique_3	images_annotated/001230_001230__relation_nearest_to_unique_3.jpg	Which car is nearest to the heavy truck?	712,766	732,771	671,772	613,793
+675	001230__leftmost_in_class_7	images_annotated/001230_001230__leftmost_in_class_7.jpg	Point to the leftmost car on the road.	405,842	512,791	550,784	196,830
+676	001235__leftmost_in_class_7	images_annotated/001235_001235__leftmost_in_class_7.jpg	Where is the leftmost car in the scene?	342,847	132,829	487,792	533,782
+677	001235__largest_in_class_6	images_annotated/001235_001235__largest_in_class_6.jpg	Find the largest car on the road.	487,792	533,782	342,847	133,829
+678	001235__smallest_in_class_0	images_annotated/001235_001235__smallest_in_class_0.jpg	Which car is the smallest one on the road?	726,767	663,769	594,792	710,761
+679	001240__leftmost_in_class_0	images_annotated/001240_001240__leftmost_in_class_0.jpg	Point to the leftmost car in the scene.	262,858	454,791	573,795	84,832
+680	001240__largest_in_class_1	images_annotated/001240_001240__largest_in_class_1.jpg	Find the largest car in the image.	261,858	85,832	454,791	573,795
+681	001240__smallest_in_class_2	images_annotated/001240_001240__smallest_in_class_2.jpg	Point to the smallest car in the image.	662,767	573,795	637,768	721,766
+682	001245__smallest_in_class_0	images_annotated/001245_001245__smallest_in_class_0.jpg	Which car is the smallest one in the scene?	1870,692	717,765	1642,712	660,765
+683	001245__relation_nearest_to_unique_4	images_annotated/001245_001245__relation_nearest_to_unique_4.jpg	Find the car nearest to the heavy truck.	660,765	716,765	629,769	549,798
+684	001245__largest_in_class_7	images_annotated/001245_001245__largest_in_class_7.jpg	Which car is the largest one in the scene?	175,881	353,799	429,789	549,798
+685	001250__leftmost_in_class_0	images_annotated/001250_001250__leftmost_in_class_0.jpg	Find the car that is farthest to the left.	291,809	129,896	401,794	519,804
+686	001250__relation_nearest_to_unique_3	images_annotated/001250_001250__relation_nearest_to_unique_3.jpg	Where is the car closest to the heavy truck?	659,766	710,767	618,770	519,804
+687	001250__quadrant_hint_7	images_annotated/001250_001250__quadrant_hint_7.jpg	Find the vehicle in the lower right corner of the image.	1069,728	711,767	659,766	618,770
+688	001255__largest_in_class_2	images_annotated/001255_001255__largest_in_class_2.jpg	Which car on the left is the largest?	214,816	370,799	482,810	61,897
+689	001255__relation_nearest_to_unique_7	images_annotated/001255_001255__relation_nearest_to_unique_7.jpg	Which car is nearest to the heavy truck?	658,768	707,770	606,774	482,810
+690	001255__rightmost_in_class_8	images_annotated/001255_001255__rightmost_in_class_8.jpg	Tap the rightmost car in the image.	1673,710	706,770	658,768	1903,690
+691	001260__leftmost_in_class_4	images_annotated/001260_001260__leftmost_in_class_4.jpg	Point to the leftmost car on the road.	328,804	435,825	154,820	600,777
+692	001260__smallest_in_class_5	images_annotated/001260_001260__smallest_in_class_5.jpg	Which car is the smallest in the scene?	700,774	655,770	600,777	1686,712
+693	001260__unique_class_6	images_annotated/001260_001260__unique_class_6.jpg	Point to the heavy truck.	700,774	1085,731	655,770	600,777
+694	001265__leftmost_in_class_2	images_annotated/001265_001265__leftmost_in_class_2.jpg	Point to the leftmost car on the road.	265,809	111,832	372,838	509,788
+695	001265__rightmost_in_class_3	images_annotated/001265_001265__rightmost_in_class_3.jpg	Which car is the rightmost one on the road?	1705,712	727,762	693,778	651,774
+696	001265__largest_in_class_0	images_annotated/001265_001265__largest_in_class_0.jpg	Which car is the largest in the scene?	265,809	509,788	372,838	596,780
+697	001270__leftmost_in_class_6	images_annotated/001270_001270__leftmost_in_class_6.jpg	Point to the car that is farthest to the left in the image.	288,855	81,838	476,795	589,782
+698	001270__closest_top_edge_3	images_annotated/001270_001270__closest_top_edge_3.jpg	Find the road sign that is higher up on the pole.	265,646	262,672	288,855	476,795
+699	001270__unique_class_8	images_annotated/001270_001270__unique_class_8.jpg	Tap the heavy truck on the far right side of the road.	724,763	682,781	1094,732	645,776
+700	001275__largest_in_class_8	images_annotated/001275_001275__largest_in_class_8.jpg	Tap the largest car on the left side of the road.	434,798	581,782	188,880	633,771
+701	001275__unique_class_1	images_annotated/001275_001275__unique_class_1.jpg	Point to the heavy truck on the far right.	722,763	668,783	633,771	1100,730
+702	001275__bottommost_in_class_5	images_annotated/001275_001275__bottommost_in_class_5.jpg	Where is the bottommost road sign?	225,665	227,638	188,880	434,798
+703	001280__relation_nearest_to_unique_5	images_annotated/001280_001280__relation_nearest_to_unique_5.jpg	Find the car nearest to the road sign.	407,801	569,786	653,789	138,897
+704	001280__rightmost_in_class_3	images_annotated/001280_001280__rightmost_in_class_3.jpg	Point to the rightmost car in the image.	1748,709	792,755	1907,697	718,766
+705	001280__relation_nearest_to_unique_2	images_annotated/001280_001280__relation_nearest_to_unique_2.jpg	Which car is nearest to the heavy truck?	791,755	718,766	653,789	569,786
+706	001285__largest_in_class_1	images_annotated/001285_001285__largest_in_class_1.jpg	Point to the largest car on the left side of the road.	65,901	181,824	377,809	554,789
+707	001285__smallest_in_class_4	images_annotated/001285_001285__smallest_in_class_4.jpg	Find the smallest car in the image.	716,768	854,759	632,795	554,789
+708	001285__rightmost_in_class_3	images_annotated/001285_001285__rightmost_in_class_3.jpg	Where is the car that is farthest to the right in the image?	1859,701	1763,708	855,759	716,768
+709	001290__bottommost_in_class_0	images_annotated/001290_001290__bottommost_in_class_0.jpg	Which road sign is the lowest on the road?	67,646	72,613	100,842	344,815
+710	001290__smallest_in_class_1	images_annotated/001290_001290__smallest_in_class_1.jpg	Which road sign is the smallest in the image?	68,646	100,842	73,613	344,815
+711	001295__rightmost_in_class_3	images_annotated/001295_001295__rightmost_in_class_3.jpg	Tap the rightmost car in the image.	1891,700	852,764	793,759	753,766
+712	001295__unique_class_0	images_annotated/001295_001295__unique_class_0.jpg	Which point marks the heavy truck on the far right?	852,764	793,759	753,766	1116,735
+713	001295__relation_nearest_to_unique_1	images_annotated/001295_001295__relation_nearest_to_unique_1.jpg	Find the car nearest to the heavy truck.	793,759	753,766	852,764	711,772
+714	001300__leftmost_in_class_1	images_annotated/001300_001300__leftmost_in_class_1.jpg	Point to the leftmost car on the road.	535,819	621,787	707,775	259,827
+715	001300__rightmost_in_class_5	images_annotated/001300_001300__rightmost_in_class_5.jpg	Point to the rightmost car on the road.	851,767	1805,707	792,761	751,768
+716	001300__relation_nearest_to_unique_3	images_annotated/001300_001300__relation_nearest_to_unique_3.jpg	Find the car that is nearest to the heavy truck.	792,761	751,768	707,775	851,767
+717	001305__leftmost_in_class_0	images_annotated/001305_001305__leftmost_in_class_0.jpg	Find the leftmost car parked on the street.	482,830	205,833	602,790	703,777
+718	001305__relation_right_of_unique_5	images_annotated/001305_001305__relation_right_of_unique_5.jpg	Where is the car to the right of the blue car?	848,770	791,763	1820,706	748,771
+719	001305__relation_nearest_to_unique_3	images_annotated/001305_001305__relation_nearest_to_unique_3.jpg	Which car is closest to the heavy truck?	849,770	791,763	748,771	703,777
+720	001310__relation_nearest_to_unique_2	images_annotated/001310_001310__relation_nearest_to_unique_2.jpg	Which car is nearest to the blue car on the left?	843,773	788,764	696,779	632,774
+721	001310__unique_class_3	images_annotated/001310_001310__unique_class_3.jpg	Find the heavy truck in the image.	842,773	1121,739	788,764	696,779
+722	001310__smallest_in_class_4	images_annotated/001310_001310__smallest_in_class_4.jpg	Which car is the smallest in the image?	842,773	696,779	787,764	632,774
+723	001315__relation_nearest_to_unique_7	images_annotated/001315_001315__relation_nearest_to_unique_7.jpg	Where is the car that is closest to the heavy truck?	784,765	738,771	833,777	687,782
+724	001315__leftmost_in_class_2	images_annotated/001315_001315__leftmost_in_class_2.jpg	Point to the blue car on the far left.	92,853	309,870	473,812	563,802
+725	001315__unique_class_8	images_annotated/001315_001315__unique_class_8.jpg	Point to the heavy truck on the right side of the road.	834,777	784,765	1121,739	738,771
+726	001320__largest_in_class_7	images_annotated/001320_001320__largest_in_class_7.jpg	Point to the largest car in the image.	182,894	419,815	543,801	607,774
+727	001320__relation_nearest_to_unique_11	images_annotated/001320_001320__relation_nearest_to_unique_11.jpg	Which car is nearest to the heavy truck?	778,763	729,771	676,780	826,776
+728	001320__quadrant_hint_2	images_annotated/001320_001320__quadrant_hint_2.jpg	Which object is in the lower right quadrant of the image?	1121,735	825,776	778,763	729,771
+729	001325__leftmost_in_class_9	images_annotated/001325_001325__leftmost_in_class_9.jpg	Find the leftmost car in the scene.	369,821	113,902	521,801	590,773
+730	001325__relation_nearest_to_unique_8	images_annotated/001325_001325__relation_nearest_to_unique_8.jpg	Which car is closest to the heavy truck?	770,762	721,770	664,780	812,778
+731	001325__closest_right_edge_0	images_annotated/001325_001325__closest_right_edge_0.jpg	Point to the car on the far right edge of the image.	1859,695	812,778	1899,692	770,762
+732	001330__largest_in_class_4	images_annotated/001330_001330__largest_in_class_4.jpg	Point to the largest car on the road.	495,810	326,832	573,776	652,783
+733	001330__relation_nearest_to_unique_6	images_annotated/001330_001330__relation_nearest_to_unique_6.jpg	Find the car nearest to the heavy truck.	762,761	712,773	799,783	652,783
+734	001330__quadrant_hint_5	images_annotated/001330_001330__quadrant_hint_5.jpg	Point to the vehicle in the lower right quadrant.	798,783	762,761	712,773	1116,735
+735	001335__leftmost_in_class_10	images_annotated/001335_001335__leftmost_in_class_10.jpg	Point to the leftmost car in the scene.	468,813	276,833	555,777	638,784
+736	001335__relation_nearest_to_unique_5	images_annotated/001335_001335__relation_nearest_to_unique_5.jpg	Point to the car nearest to the large yellow house.	783,787	753,767	702,774	638,784
+737	001335__unique_class_9	images_annotated/001335_001335__unique_class_9.jpg	Find the heavy truck on the far right.	783,787	753,767	702,774	1112,734
+738	001340__largest_in_class_10	images_annotated/001340_001340__largest_in_class_10.jpg	Find the largest car parked on the left side of the street.	221,843	438,816	536,778	625,787
+739	001340__smallest_in_class_3	images_annotated/001340_001340__smallest_in_class_3.jpg	Which car is the smallest one in the group of vehicles on the left?	692,775	765,791	625,787	714,772
+740	001340__quadrant_hint_2	images_annotated/001340_001340__quadrant_hint_2.jpg	Where is the large vehicle located in the lower right section of the image?	1110,733	765,791	714,772	692,775
+741	001345__leftmost_in_class_0	images_annotated/001345_001345__leftmost_in_class_0.jpg	Point to the leftmost car parked on the street.	157,854	405,824	521,783	611,792
+742	001345__quadrant_hint_5	images_annotated/001345_001345__quadrant_hint_5.jpg	Tap the person standing on the far right side of the road.	1820,696	1886,690	1898,689	1847,704
+743	001350__largest_in_class_5	images_annotated/001350_001350__largest_in_class_5.jpg	Point to the largest car on the left side of the road.	369,828	496,783	597,791	109,860
+744	001350__relation_nearest_to_unique_2	images_annotated/001350_001350__relation_nearest_to_unique_2.jpg	Point to the car nearest to the large yellow house.	716,811	668,779	597,791	496,783
+745	001350__quadrant_hint_4	images_annotated/001350_001350__quadrant_hint_4.jpg	Where is the vehicle in the lower right corner?	716,811	1104,734	668,779	597,791
+746	001355__relation_nearest_to_unique_5	images_annotated/001355_001355__relation_nearest_to_unique_5.jpg	Which car is nearest to the heavy truck?	583,793	682,824	479,782	331,833
+747	001355__leftmost_in_class_7	images_annotated/001355_001355__leftmost_in_class_7.jpg	Which car is the leftmost one in the image?	331,833	479,782	583,793	75,857
+748	001355__rightmost_in_class_2	images_annotated/001355_001355__rightmost_in_class_2.jpg	Which car is the rightmost one in the image?	1845,689	1643,706	681,824	583,793
+749	001360__leftmost_in_class_6	images_annotated/001360_001360__leftmost_in_class_6.jpg	Which car is positioned farthest to the left?	288,841	35,870	463,788	563,798
+750	001360__pair_size_8	images_annotated/001360_001360__pair_size_8.jpg	Which heavy truck is the larger of the two?	1910,669	721,773	631,845	1104,735
+751	001360__rightmost_in_class_1	images_annotated/001360_001360__rightmost_in_class_1.jpg	Which heavy truck is positioned farthest to the right?	1104,736	1858,690	1910,669	1761,699
+752	001365__bottommost_in_class_6	images_annotated/001365_001365__bottommost_in_class_6.jpg	Point to the car that is lowest in the frame.	454,788	672,781	553,879	694,777
+753	001365__relation_nearest_to_unique_3	images_annotated/001365_001365__relation_nearest_to_unique_3.jpg	Point to the car nearest to the black SUV on the left.	694,777	672,781	553,879	716,774
+754	001365__quadrant_hint_4	images_annotated/001365_001365__quadrant_hint_4.jpg	Where is the large vehicle in the lower right quadrant?	716,774	1104,735	694,777	672,781
+755	001370__largest_in_class_5	images_annotated/001370_001370__largest_in_class_5.jpg	Point to the largest car on the road.	184,855	637,785	666,779	409,935
+756	001370__leftmost_in_class_7	images_annotated/001370_001370__leftmost_in_class_7.jpg	Point to the leftmost car in the image.	409,935	637,785	184,855	666,779
+757	001370__quadrant_hint_8	images_annotated/001370_001370__quadrant_hint_8.jpg	Tap on the vehicle located in the lower right corner.	711,773	687,776	1106,735	666,779
+758	001375__largest_in_class_10	images_annotated/001375_001375__largest_in_class_10.jpg	Where is the largest car in the image?	230,1028	428,787	522,800	630,783
+759	001375__unique_class_0	images_annotated/001375_001375__unique_class_0.jpg	Point to the heavy truck on the far right side of the road.	707,771	1108,732	682,774	659,778
+760	001375__relation_nearest_to_unique_1	images_annotated/001375_001375__relation_nearest_to_unique_1.jpg	Point to the car nearest to the heavy truck.	682,774	659,778	630,783	707,771
+761	001380__relation_left_of_unique_0	images_annotated/001380_001380__relation_left_of_unique_0.jpg	Point to the black car parked on the far left.	406,785	505,797	621,780	98,847
+762	001380__relation_nearest_to_unique_1	images_annotated/001380_001380__relation_nearest_to_unique_1.jpg	Which car is closest to the road sign?	505,797	621,780	653,775	405,785
+763	001380__unique_class_2	images_annotated/001380_001380__unique_class_2.jpg	Point to the road sign on the left side of the road.	406,785	232,697	97,847	505,797
+764	001385__leftmost_in_class_0	images_annotated/001385_001385__leftmost_in_class_0.jpg	Where is the leftmost car parked on the street?	63,851	386,782	487,795	613,777
+765	001385__pair_size_3	images_annotated/001385_001385__pair_size_3.jpg	Point to the larger of the two heavy trucks on the right.	726,735	1114,725	699,764	672,767
+766	001390__leftmost_in_class_11	images_annotated/001390_001390__leftmost_in_class_11.jpg	Which car is the leftmost one in the line of parked cars?	355,781	468,796	605,775	640,770
+767	001390__relation_nearest_to_unique_7	images_annotated/001390_001390__relation_nearest_to_unique_7.jpg	Which car is closest to the heavy truck?	668,765	640,770	695,762	605,775
+768	001390__largest_in_class_0	images_annotated/001390_001390__largest_in_class_0.jpg	Which car is the largest in the scene?	356,781	605,775	468,796	640,770
+769	001395__largest_in_class_7	images_annotated/001395_001395__largest_in_class_7.jpg	Where is the largest car on the road?	331,783	597,778	447,802	632,772
+770	001395__leftmost_in_class_8	images_annotated/001395_001395__leftmost_in_class_8.jpg	Point to the leftmost car in the line of parked vehicles.	330,783	448,802	597,778	632,772
+771	001395__pair_top_bottom_9	images_annotated/001395_001395__pair_top_bottom_9.jpg	Find the top road sign in the pair of signs on the left.	86,671	88,642	331,783	448,802
+772	001400__leftmost_in_class_6	images_annotated/001400_001400__leftmost_in_class_6.jpg	Point to the leftmost car on the road.	426,804	589,780	324,785	627,774
+773	001400__largest_in_class_5	images_annotated/001400_001400__largest_in_class_5.jpg	Which car is the largest in the scene?	426,804	325,785	589,780	627,774
+774	001400__pair_top_bottom_7	images_annotated/001400_001400__pair_top_bottom_7.jpg	Which road sign is the top one in the pair?	23,665	325,785	426,804	27,630
+775	001405__closest_bottom_edge_3	images_annotated/001405_001405__closest_bottom_edge_3.jpg	Which car is closest to the bottom edge of the image?	290,786	583,780	622,774	403,808
+776	001405__relation_nearest_to_unique_0	images_annotated/001405_001405__relation_nearest_to_unique_0.jpg	Point to the car nearest to the heavy truck.	657,769	689,764	622,774	583,780
+777	001405__quadrant_hint_9	images_annotated/001405_001405__quadrant_hint_9.jpg	Where is the vehicle in the lower right quadrant?	690,764	657,769	1131,723	622,774
+778	001410__relation_nearest_to_unique_3	images_annotated/001410_001410__relation_nearest_to_unique_3.jpg	Which car is nearest to the large white building on the left?	654,770	689,765	618,775	576,781
+779	001410__closest_bottom_edge_1	images_annotated/001410_001410__closest_bottom_edge_1.jpg	Which car is closest to the bottom edge of the image?	277,787	576,781	618,775	378,810
+780	001410__unique_class_4	images_annotated/001410_001410__unique_class_4.jpg	Point to the heavy truck on the far right.	690,765	654,770	1139,720	618,775
+781	001415__closest_bottom_edge_0	images_annotated/001415_001415__closest_bottom_edge_0.jpg	Which car is closest to the bottom edge of the image?	353,819	236,793	570,787	614,778
+782	001415__quadrant_hint_2	images_annotated/001415_001415__quadrant_hint_2.jpg	Find the vehicle in the lower right quadrant of the image.	691,767	652,774	614,778	1148,723
+783	001415__leftmost_in_class_1	images_annotated/001415_001415__leftmost_in_class_1.jpg	Which car is the leftmost on the street?	353,819	570,787	236,793	614,778
+784	001420__closest_to_center_6	images_annotated/001420_001420__closest_to_center_6.jpg	Point to the car closest to the center of the image.	691,773	650,778	610,783	563,792
+785	001420__pair_size_3	images_annotated/001420_001420__pair_size_3.jpg	Find the larger of the two heavy trucks.	1158,726	727,737	691,773	650,778
+786	001420__pair_size_7	images_annotated/001420_001420__pair_size_7.jpg	Find the smaller of the two heavy trucks.	1157,726	691,773	728,737	650,778
+787	001425__largest_in_class_8	images_annotated/001425_001425__largest_in_class_8.jpg	Which car on the left is the largest?	168,795	554,796	604,787	282,833
+788	001425__smallest_in_class_0	images_annotated/001425_001425__smallest_in_class_0.jpg	Which car on the far right is the smallest?	1903,683	1878,685	1835,687	691,775
+789	001425__unique_class_3	images_annotated/001425_001425__unique_class_3.jpg	Point to the heavy truck on the right side of the road.	1162,727	691,775	648,781	604,787
+790	001430__bottommost_in_class_8	images_annotated/001430_001430__bottommost_in_class_8.jpg	Where is the car that is lowest on the road, parked on the left?	238,840	128,789	543,797	597,788
+791	001430__relation_nearest_to_unique_2	images_annotated/001430_001430__relation_nearest_to_unique_2.jpg	Point to the car nearest to the large SUV parked on the left.	643,781	689,775	597,788	543,797
+792	001430__unique_class_5	images_annotated/001430_001430__unique_class_5.jpg	Find the heavy truck on the far right side of the road.	689,775	643,781	597,788	1169,726
+793	001435__closest_to_center_5	images_annotated/001435_001435__closest_to_center_5.jpg	Where is the car closest to the center of the image?	686,775	852,756	637,783	588,790
+794	001435__pair_size_2	images_annotated/001435_001435__pair_size_2.jpg	Which truck is the larger of the two?	728,738	852,756	1175,727	686,775
+795	001435__largest_in_class_8	images_annotated/001435_001435__largest_in_class_8.jpg	Find the largest car on the road.	72,792	530,796	588,790	182,843
+796	001440__pair_size_5	images_annotated/001440_001440__pair_size_5.jpg	Which heavy truck is the larger of the two?	1183,727	727,739	863,756	683,777
+797	001440__smallest_in_class_4	images_annotated/001440_001440__smallest_in_class_4.jpg	Find the smallest heavy truck in the image.	1182,727	683,777	631,785	728,739
+798	001445__smallest_in_class_4	images_annotated/001445_001445__smallest_in_class_4.jpg	Find the smallest car in the image.	679,776	1903,685	621,782	563,792
+799	001445__relation_nearest_to_unique_3	images_annotated/001445_001445__relation_nearest_to_unique_3.jpg	Which car is closest to the heavy truck?	621,782	563,792	680,776	496,800
+800	001445__unique_class_2	images_annotated/001445_001445__unique_class_2.jpg	Point to the heavy truck on the right side of the road.	1188,727	679,776	621,782	563,792
+801	001450__largest_in_class_4	images_annotated/001450_001450__largest_in_class_4.jpg	Point to the largest car parked on the left side.	475,805	61,848	549,795	611,784
+802	001450__rightmost_in_class_3	images_annotated/001450_001450__rightmost_in_class_3.jpg	Which car is the rightmost among the vehicles on the road?	611,784	549,795	475,805	674,777
+803	001450__unique_class_0	images_annotated/001450_001450__unique_class_0.jpg	Point to the heavy truck on the right side of the road.	673,777	611,784	1192,728	549,795
+804	001455__leftmost_in_class_3	images_annotated/001455_001455__leftmost_in_class_3.jpg	Find the leftmost car parked along the side of the road.	532,793	600,783	451,804	667,775
+805	001455__rightmost_in_class_0	images_annotated/001455_001455__rightmost_in_class_0.jpg	Find the car parked farthest to the right on the left side of the road.	600,783	532,793	666,775	451,804
+806	001455__quadrant_hint_1	images_annotated/001455_001455__quadrant_hint_1.jpg	Point to the vehicle in the lower right corner of the image.	1198,726	667,775	600,783	532,793
+807	001460__largest_in_class_3	images_annotated/001460_001460__largest_in_class_3.jpg	Which car is the largest in the group?	513,796	588,785	660,775	424,806
+808	001460__relation_nearest_to_unique_1	images_annotated/001460_001460__relation_nearest_to_unique_1.jpg	Which car is closest to the large white house on the left?	588,785	513,796	660,775	424,806
+809	001460__unique_class_2	images_annotated/001460_001460__unique_class_2.jpg	Find the heavy truck among the cars.	660,775	588,785	1204,727	513,796
+810	001465__leftmost_in_class_4	images_annotated/001465_001465__leftmost_in_class_4.jpg	Point to the car that is farthest to the left.	492,801	575,788	653,780	394,810
+811	001465__relation_nearest_to_unique_2	images_annotated/001465_001465__relation_nearest_to_unique_2.jpg	Which car is closest to the large white house on the left?	653,780	575,788	492,801	393,810
+812	001465__unique_class_3	images_annotated/001465_001465__unique_class_3.jpg	Find the heavy truck among the cars.	653,780	575,788	1208,730	492,801
+813	001470__largest_in_class_3	images_annotated/001470_001470__largest_in_class_3.jpg	Which car is the largest on the left side?	468,803	357,814	561,789	645,780
+814	001470__rightmost_in_class_4	images_annotated/001470_001470__rightmost_in_class_4.jpg	Point to the rightmost car in the row of parked vehicles.	561,789	468,803	358,814	645,780
+815	001470__quadrant_hint_1	images_annotated/001470_001470__quadrant_hint_1.jpg	Find the vehicle in the lower right quadrant.	645,780	561,789	1213,731	468,803
+816	001475__rightmost_in_class_3	images_annotated/001475_001475__rightmost_in_class_3.jpg	Where is the rightmost car in the scene?	546,787	443,801	317,814	636,777
+817	001475__largest_in_class_2	images_annotated/001475_001475__largest_in_class_2.jpg	Point to the largest vehicle in the image.	698,736	636,776	1217,730	546,787
+818	001475__pair_size_4	images_annotated/001475_001475__pair_size_4.jpg	Which truck is the smaller of the two?	1218,730	699,735	636,776	546,787
+819	001480__smallest_in_class_1	images_annotated/001480_001480__smallest_in_class_1.jpg	Find the smallest heavy truck in the scene.	691,732	1223,727	627,778	528,788
+820	001480__largest_in_class_4	images_annotated/001480_001480__largest_in_class_4.jpg	Tap the largest car in the scene.	410,801	528,788	269,815	627,778
+821	001485__largest_in_class_3	images_annotated/001485_001485__largest_in_class_3.jpg	Which car is the largest in the group?	374,809	509,793	215,825	617,780
+822	001485__pair_size_0	images_annotated/001485_001485__pair_size_0.jpg	Point to the smaller of the two heavy trucks.	685,734	1229,729	617,780	509,793
+823	001485__smallest_in_class_4	images_annotated/001485_001485__smallest_in_class_4.jpg	Where is the smallest car in the image?	616,780	509,793	374,809	215,825
+824	001490__closest_to_center_1	images_annotated/001490_001490__closest_to_center_1.jpg	Find the car closest to the center of the image.	488,796	334,815	148,832	607,780
+825	001490__pair_size_2	images_annotated/001490_001490__pair_size_2.jpg	Which heavy truck is the larger of the two?	680,732	1235,728	606,780	488,796
+826	001495__largest_in_class_0	images_annotated/001495_001495__largest_in_class_0.jpg	Find the largest heavy truck in the scene.	1242,728	675,732	594,781	464,794
+827	001495__smallest_in_class_1	images_annotated/001495_001495__smallest_in_class_1.jpg	Tap the smallest heavy truck in the scene.	1242,728	594,781	676,732	464,794
+828	001500__leftmost_in_class_0	images_annotated/001500_001500__leftmost_in_class_0.jpg	Point to the leftmost car parked on the street.	226,823	438,798	65,833	582,783
+829	001500__smallest_in_class_4	images_annotated/001500_001500__smallest_in_class_4.jpg	Find the smallest car on the road.	438,798	226,823	582,783	65,833
+830	001500__largest_in_class_2	images_annotated/001500_001500__largest_in_class_2.jpg	Find the largest car parked on the left side of the road.	227,823	65,833	438,798	582,783
+831	001505__closest_to_center_4	images_annotated/001505_001505__closest_to_center_4.jpg	Where is the car closest to the center of the image?	1358,743	569,790	1044,758	409,805
+832	001505__rightmost_in_class_3	images_annotated/001505_001505__rightmost_in_class_3.jpg	Tap the car that is farthest to the right.	1357,743	1044,758	569,790	409,805
+833	001505__quadrant_hint_1	images_annotated/001505_001505__quadrant_hint_1.jpg	Point to the heavy truck in the lower left quadrant.	1257,731	662,735	569,790	409,805
+834	001510__smallest_in_class_2	images_annotated/001510_001510__smallest_in_class_2.jpg	Which car is the smallest?	1067,761	555,795	1367,745	376,816
+835	001510__largest_in_class_0	images_annotated/001510_001510__largest_in_class_0.jpg	Find the largest truck in the image.	657,738	1265,733	1367,745	1067,761
+836	001510__closest_to_center_1	images_annotated/001510_001510__closest_to_center_1.jpg	Where is the car closest to the center of the image?	1068,761	1367,745	555,795	376,816
+837	001515__leftmost_in_class_2	images_annotated/001515_001515__leftmost_in_class_2.jpg	Point to the leftmost car in the scene.	67,840	337,818	539,795	1082,758
+838	001515__smallest_in_class_3	images_annotated/001515_001515__smallest_in_class_3.jpg	Which heavy truck is the smallest?	1273,729	539,795	651,734	337,818
+839	001515__pair_size_4	images_annotated/001515_001515__pair_size_4.jpg	Tap the larger of the two heavy trucks.	650,734	1273,729	1376,742	1082,758
+840	001520__relation_nearest_to_unique_1	images_annotated/001520_001520__relation_nearest_to_unique_1.jpg	Find the car that is nearest to the road sign.	523,796	298,822	1103,756	1385,740
+841	001520__smallest_in_class_3	images_annotated/001520_001520__smallest_in_class_3.jpg	Where is the smallest car in the image?	1103,756	523,796	298,822	1384,740
+842	001520__unique_class_0	images_annotated/001520_001520__unique_class_0.jpg	Point to the road sign on the left side of the road.	298,822	523,796	271,681	643,732
+843	001525__largest_in_class_0	images_annotated/001525_001525__largest_in_class_0.jpg	Which car is the largest on the left side of the road?	246,827	504,798	1121,754	1395,738
+844	001525__closest_to_center_3	images_annotated/001525_001525__closest_to_center_3.jpg	Where is the car closest to the center of the image?	1395,738	1430,739	1121,754	504,798
+845	001525__pair_size_7	images_annotated/001525_001525__pair_size_7.jpg	Tap the larger of the two heavy trucks on the right.	635,733	1395,738	1430,739	1292,725
+846	001530__largest_in_class_1	images_annotated/001530_001530__largest_in_class_1.jpg	Point to the largest car on the left side of the road.	482,800	1142,754	1405,739	182,831
+847	001530__smallest_in_class_3	images_annotated/001530_001530__smallest_in_class_3.jpg	Point to the smallest heavy truck in the image.	628,733	1301,725	482,800	182,831
+848	001530__closest_top_edge_4	images_annotated/001530_001530__closest_top_edge_4.jpg	Find the road sign that is closest to the top edge of the image.	169,668	171,640	182,831	482,800
+849	001535__leftmost_in_class_1	images_annotated/001535_001535__leftmost_in_class_1.jpg	Point to the leftmost car in the image.	456,805	1168,756	1414,739	115,842
+850	001535__closest_to_center_2	images_annotated/001535_001535__closest_to_center_2.jpg	Where is the car closest to the center of the image?	1167,756	1414,739	1455,741	456,805
+851	001535__smallest_in_class_3	images_annotated/001535_001535__smallest_in_class_3.jpg	Which heavy truck is the smallest?	1311,726	456,805	618,733	116,842
+852	001540__leftmost_in_class_0	images_annotated/001540_001540__leftmost_in_class_0.jpg	Point to the car on the far left of the road.	428,805	81,848	1187,753	1425,737
+853	001540__closest_right_edge_2	images_annotated/001540_001540__closest_right_edge_2.jpg	Find the car closest to the right edge of the image.	1425,737	1187,753	1469,738	428,805
+854	001540__pair_top_bottom_3	images_annotated/001540_001540__pair_top_bottom_3.jpg	Which road sign is the top one in the pair?	27,651	33,615	80,848	428,805
+855	001545__rightmost_in_class_1	images_annotated/001545_001545__rightmost_in_class_1.jpg	Where is the rightmost car in the image?	1745,708	1481,736	1436,736	1212,752
+856	001545__closest_to_center_4	images_annotated/001545_001545__closest_to_center_4.jpg	Tap the car closest to the center of the image.	1436,736	1481,736	1212,752	1746,709
+857	001545__quadrant_hint_0	images_annotated/001545_001545__quadrant_hint_0.jpg	Point to the heavy truck in the lower-left quadrant.	1332,723	591,733	395,812	1212,752
+858	001550__pair_size_0	images_annotated/001550_001550__pair_size_0.jpg	Which truck is the smaller of the two?	1343,719	358,813	1234,749	580,728
+859	001550__pair_size_3	images_annotated/001550_001550__pair_size_3.jpg	Which truck is the larger of the two?	579,728	1342,719	1446,733	1234,749
+860	001555__leftmost_in_class_1	images_annotated/001555_001555__leftmost_in_class_1.jpg	Point to the leftmost car in the scene.	1260,746	1460,731	1509,732	317,826
+861	001555__quadrant_hint_3	images_annotated/001555_001555__quadrant_hint_3.jpg	Where is the heavy truck on the right side of the image?	566,726	1356,717	1260,746	1460,731
+862	001555__rightmost_in_class_0	images_annotated/001555_001555__rightmost_in_class_0.jpg	Which car is the rightmost one in the scene?	1509,732	1460,731	1260,746	316,826
+863	001560__rightmost_in_class_3	images_annotated/001560_001560__rightmost_in_class_3.jpg	Tap the car that is farthest to the right.	1472,728	1283,743	265,828	1524,728
+864	001560__closest_to_center_2	images_annotated/001560_001560__closest_to_center_2.jpg	Point to the car closest to the center of the image.	1283,743	1472,728	1524,728	265,828
+865	001560__quadrant_hint_0	images_annotated/001560_001560__quadrant_hint_0.jpg	Point to the truck on the right side of the image.	550,722	1283,743	1367,713	1472,728
+866	001565__pair_left_right_0	images_annotated/001565_001565__pair_left_right_0.jpg	Point to the larger of the two heavy trucks.	536,718	1379,708	1297,738	1484,724
+867	001565__smallest_in_class_2	images_annotated/001565_001565__smallest_in_class_2.jpg	Which car is the smallest?	1484,724	1539,725	206,824	1298,738
+868	001565__rightmost_in_class_3	images_annotated/001565_001565__rightmost_in_class_3.jpg	Which car is the rightmost one?	1540,725	1484,724	1297,738	206,824
+869	001570__largest_in_class_0	images_annotated/001570_001570__largest_in_class_0.jpg	Which car is the largest in the scene?	545,758	1497,725	1554,722	144,835
+870	001570__quadrant_hint_2	images_annotated/001570_001570__quadrant_hint_2.jpg	Where is the heavy truck in the lower-left quadrant?	1394,709	545,758	515,721	144,835
+871	001570__pair_size_3	images_annotated/001570_001570__pair_size_3.jpg	Find the smaller of the two heavy trucks.	515,721	1394,708	1497,725	1554,722
+872	001575__largest_in_class_2	images_annotated/001575_001575__largest_in_class_2.jpg	Which car is the largest in the scene?	532,763	113,845	1510,727	1572,728
+873	001575__quadrant_hint_1	images_annotated/001575_001575__quadrant_hint_1.jpg	Point to the heavy truck on the left side of the road.	1406,711	532,763	114,845	495,725
+874	001575__pair_size_4	images_annotated/001575_001575__pair_size_4.jpg	Which truck is the smaller of the two heavy trucks?	1405,711	495,725	1510,727	1572,728
+875	001580__smallest_in_class_3	images_annotated/001580_001580__smallest_in_class_3.jpg	Find the smallest heavy truck in the scene.	1421,708	472,725	1522,725	1589,726
+876	001580__rightmost_in_class_0	images_annotated/001580_001580__rightmost_in_class_0.jpg	Point to the car on the far right of the road.	1736,706	1589,726	1851,692	1522,725
+877	001580__closest_to_center_1	images_annotated/001580_001580__closest_to_center_1.jpg	Find the car closest to the center of the image.	735,762	789,760	517,762	78,842
+878	001585__largest_in_class_3	images_annotated/001585_001585__largest_in_class_3.jpg	Tap the largest heavy truck in the scene.	1437,708	447,727	506,766	735,763
+879	001585__pair_size_4	images_annotated/001585_001585__pair_size_4.jpg	Find the smaller of the two heavy trucks.	448,727	1436,708	1537,722	1607,724
+880	001590__leftmost_in_class_4	images_annotated/001590_001590__leftmost_in_class_4.jpg	Which car is the leftmost one in the image?	732,761	783,761	499,765	1552,718
+881	001590__largest_in_class_2	images_annotated/001590_001590__largest_in_class_2.jpg	Which car is the largest in the image?	1552,718	1624,720	1766,699	1797,693
+882	001590__rightmost_in_class_0	images_annotated/001590_001590__rightmost_in_class_0.jpg	Which car is the rightmost one in the image?	1797,693	1766,699	1878,684	1625,720
+883	001595__relation_nearest_to_unique_4	images_annotated/001595_001595__relation_nearest_to_unique_4.jpg	Find the car that is nearest to the person.	1571,716	1782,696	1644,718	1815,690
+884	001595__unique_class_0	images_annotated/001595_001595__unique_class_0.jpg	Point to the person standing near the cars on the right.	1644,718	1655,713	1571,716	1782,696
+885	001595__closest_to_center_2	images_annotated/001595_001595__closest_to_center_2.jpg	Point to the car closest to the center of the road.	728,762	488,766	430,763	781,761
+886	001600__pair_size_5	images_annotated/001600_001600__pair_size_5.jpg	Find the smaller of the two heavy trucks.	1486,700	359,725	1584,717	1665,718
+887	001600__closest_to_center_1	images_annotated/001600_001600__closest_to_center_1.jpg	Find the car closest to the center of the image.	725,766	479,770	408,766	778,762
+888	001600__quadrant_hint_0	images_annotated/001600_001600__quadrant_hint_0.jpg	Where is the person on the far right side of the road?	1665,718	1584,717	1678,712	1798,695
+889	001605__leftmost_in_class_1	images_annotated/001605_001605__leftmost_in_class_1.jpg	Point to the leftmost car in the line of traffic.	472,770	397,766	709,767	776,763
+890	001605__relation_nearest_to_unique_5	images_annotated/001605_001605__relation_nearest_to_unique_5.jpg	Where is the car nearest to the person?	1601,713	1814,692	1686,714	1847,686
+891	001605__closest_to_center_4	images_annotated/001605_001605__closest_to_center_4.jpg	Find the car closest to the center of the road.	776,762	720,765	472,770	398,766
+892	001610__largest_in_class_3	images_annotated/001610_001610__largest_in_class_3.jpg	Which car is the largest among the vehicles on the right?	1621,709	1707,710	1831,687	1863,681
+893	001610__leftmost_in_class_6	images_annotated/001610_001610__leftmost_in_class_6.jpg	Which car is the leftmost one in the line of traffic?	459,769	386,767	705,766	717,763
+894	001610__closest_to_center_5	images_annotated/001610_001610__closest_to_center_5.jpg	Which car is closest to the center of the image?	717,763	705,766	459,769	772,762
+895	001615__relation_nearest_to_unique_2	images_annotated/001615_001615__relation_nearest_to_unique_2.jpg	Find the car closest to the person.	1640,704	1850,687	1882,681	1730,710
+896	001615__leftmost_in_class_4	images_annotated/001615_001615__leftmost_in_class_4.jpg	Point to the leftmost car in the row of vehicles on the left.	373,770	311,771	449,772	703,769
+897	001615__pair_size_6	images_annotated/001615_001615__pair_size_6.jpg	Find the larger of the two heavy trucks.	1547,691	312,771	228,717	373,770
+898	001620__leftmost_in_class_2	images_annotated/001620_001620__leftmost_in_class_2.jpg	Where is the leftmost car on the road?	363,769	439,773	292,769	700,768
+899	001620__relation_nearest_to_unique_5	images_annotated/001620_001620__relation_nearest_to_unique_5.jpg	Point to the heavy truck nearest to the person.	176,712	1569,687	1756,707	1781,699
+900	001620__largest_in_class_1	images_annotated/001620_001620__largest_in_class_1.jpg	Which vehicle is the largest in the scene?	177,712	1569,687	292,769	363,769
+901	001625__largest_in_class_1	images_annotated/001625_001625__largest_in_class_1.jpg	Which heavy truck is the largest in the scene?	1593,683	277,769	113,708	355,768
+902	001625__relation_nearest_to_unique_3	images_annotated/001625_001625__relation_nearest_to_unique_3.jpg	Find the heavy truck that is nearest to the person.	113,708	1594,683	1689,702	1784,703
+903	001625__quadrant_hint_0	images_annotated/001625_001625__quadrant_hint_0.jpg	Where is the person standing on the grass by the food truck?	1811,696	1784,703	1889,678	1689,702
+904	001630__relation_right_of_unique_4	images_annotated/001630_001630__relation_right_of_unique_4.jpg	Where is the car to the right of the person?	1802,703	1901,676	1724,702	768,767
+905	001630__largest_in_class_3	images_annotated/001630_001630__largest_in_class_3.jpg	Which is the largest vehicle in the image?	1618,682	265,770	339,771	63,705
+906	001635__relation_nearest_to_unique_3	images_annotated/001635_001635__relation_nearest_to_unique_3.jpg	Find the car nearest to the person on the right.	1831,701	1910,679	1753,701	767,768
+907	001635__closest_to_center_2	images_annotated/001635_001635__closest_to_center_2.jpg	Point to the car nearest to the center of the image.	707,769	693,770	413,776	766,768
+908	001635__pair_left_right_1	images_annotated/001635_001635__pair_left_right_1.jpg	Find the person on the left side of the pair.	1872,691	1697,717	1753,701	1644,680
+909	001640__rightmost_in_class_1	images_annotated/001640_001640__rightmost_in_class_1.jpg	Which car is positioned furthest to the right?	1787,696	1859,698	822,762	767,767
+910	001640__quadrant_hint_0	images_annotated/001640_001640__quadrant_hint_0.jpg	Find the brown truck on the right side of the road.	1729,714	1787,696	1859,698	1670,677
+911	001640__relation_nearest_to_unique_2	images_annotated/001640_001640__relation_nearest_to_unique_2.jpg	Which person is closest to the heavy truck?	1730,714	1904,689	1787,696	1671,677
+912	001645__largest_in_class_6	images_annotated/001645_001645__largest_in_class_6.jpg	Point to the largest car on the far right of the image.	1816,697	1882,698	823,763	766,768
+913	001645__relation_nearest_to_unique_1	images_annotated/001645_001645__relation_nearest_to_unique_1.jpg	Which car is closest to the person standing near the large brown truck?	1881,698	823,763	766,768	1816,697
+914	001645__closest_to_center_4	images_annotated/001645_001645__closest_to_center_4.jpg	Find the car closest to the center of the image.	766,768	824,762	727,764	702,769
+915	001650__relation_nearest_to_unique_5	images_annotated/001650_001650__relation_nearest_to_unique_5.jpg	Point to the car nearest to the person on the right.	1843,696	1896,696	823,764	765,769
+916	001650__leftmost_in_class_0	images_annotated/001650_001650__leftmost_in_class_0.jpg	Point to the leftmost car on the road.	298,774	382,777	213,772	684,774
+917	001650__unique_class_8	images_annotated/001650_001650__unique_class_8.jpg	Where is the heavy truck parked on the right?	1788,713	1728,673	1844,696	1896,696
+918	001655__closest_to_center_2	images_annotated/001655_001655__closest_to_center_2.jpg	Point to the car closest to the center of the image.	822,764	763,769	724,766	698,771
+919	001655__leftmost_in_class_6	images_annotated/001655_001655__leftmost_in_class_6.jpg	Point to the leftmost car in the image.	286,774	372,777	200,770	681,774
+920	001655__unique_class_3	images_annotated/001655_001655__unique_class_3.jpg	Find the heavy truck on the right side of the road.	1823,708	1876,693	1908,695	1757,670
+921	001660__relation_nearest_to_unique_7	images_annotated/001660_001660__relation_nearest_to_unique_7.jpg	Point to the car nearest to the person.	822,765	762,770	722,767	1903,691
+922	001660__leftmost_in_class_1	images_annotated/001660_001660__leftmost_in_class_1.jpg	Point to the leftmost car on the road.	272,774	361,777	184,771	678,774
+923	001660__quadrant_hint_6	images_annotated/001660_001660__quadrant_hint_6.jpg	Tap the person on the far right side of the image.	1902,691	1855,707	1784,666	822,765
+924	001665__rightmost_in_class_4	images_annotated/001665_001665__rightmost_in_class_4.jpg	Which car is the rightmost one in the image?	760,772	721,768	822,767	693,773
+925	001665__unique_class_3	images_annotated/001665_001665__unique_class_3.jpg	Point to the large brown truck on the far right.	1812,664	1887,707	821,767	760,772
+926	001665__unique_class_5	images_annotated/001665_001665__unique_class_5.jpg	Where is the person standing on the sidewalk?	1813,664	821,767	760,772	1887,707
+927	001670__leftmost_in_class_0	images_annotated/001670_001670__leftmost_in_class_0.jpg	Point to the leftmost car in the row of parked cars on the left side of the street.	245,777	343,781	156,772	670,777
+928	001670__largest_in_class_5	images_annotated/001670_001670__largest_in_class_5.jpg	Find the largest car in the group of vehicles on the left.	344,781	245,777	156,772	670,777
+929	001670__relation_nearest_to_unique_4	images_annotated/001670_001670__relation_nearest_to_unique_4.jpg	Which car is closest to the large brown truck on the right?	820,769	758,774	718,771	689,775
+930	001675__rightmost_in_class_8	images_annotated/001675_001675__rightmost_in_class_8.jpg	Point to the rightmost car in the image.	755,776	818,771	715,772	685,777
+931	001675__quadrant_hint_7	images_annotated/001675_001675__quadrant_hint_7.jpg	Where is the vehicle in the lower right corner?	1839,659	818,771	755,776	715,772
+932	001675__leftmost_in_class_3	images_annotated/001675_001675__leftmost_in_class_3.jpg	Point to the leftmost car on the street.	230,778	320,782	666,780	140,773
+933	001680__smallest_in_class_7	images_annotated/001680_001680__smallest_in_class_7.jpg	Which car appears smallest in the image?	682,777	752,776	662,780	712,772
+934	001680__relation_nearest_to_unique_4	images_annotated/001680_001680__relation_nearest_to_unique_4.jpg	Which car is closest to the red traffic light on the right?	752,776	713,772	816,771	682,777
+935	001680__quadrant_hint_8	images_annotated/001680_001680__quadrant_hint_8.jpg	Point to the vehicle in the lower right corner.	816,771	1855,656	752,776	713,772
+936	001685__smallest_in_class_7	images_annotated/001685_001685__smallest_in_class_7.jpg	Find the smallest car among the group.	678,779	750,778	710,774	656,782
+937	001685__unique_class_1	images_annotated/001685_001685__unique_class_1.jpg	Point to the large truck on the right.	814,773	750,778	710,774	1866,657
+938	001685__rightmost_in_class_0	images_annotated/001685_001685__rightmost_in_class_0.jpg	Find the car on the far right side of the road.	750,778	814,773	710,774	678,779
+939	001690__rightmost_in_class_4	images_annotated/001690_001690__rightmost_in_class_4.jpg	Where is the rightmost car in the line of traffic?	747,779	812,774	707,774	674,779
+940	001690__leftmost_in_class_0	images_annotated/001690_001690__leftmost_in_class_0.jpg	Point to the leftmost car parked on the street.	189,780	289,784	96,775	653,783
+941	001690__smallest_in_class_6	images_annotated/001690_001690__smallest_in_class_6.jpg	Tap the smallest car visible in the image.	674,779	747,779	653,783	707,774
+942	001695__largest_in_class_3	images_annotated/001695_001695__largest_in_class_3.jpg	Where is the largest car on the road?	179,780	275,784	83,772	649,779
+943	001695__leftmost_in_class_1	images_annotated/001695_001695__leftmost_in_class_1.jpg	Which car is the leftmost one in the image?	179,780	275,784	649,779	83,772
+944	001695__rightmost_in_class_6	images_annotated/001695_001695__rightmost_in_class_6.jpg	Point to the rightmost car in the image.	744,777	704,773	810,772	671,778
+945	001700__leftmost_in_class_3	images_annotated/001700_001700__leftmost_in_class_3.jpg	Which car is the leftmost one parked on the street?	164,780	265,784	69,773	645,781
+946	001700__rightmost_in_class_4	images_annotated/001700_001700__rightmost_in_class_4.jpg	Point to the car that is farthest to the right in the scene.	743,777	808,772	702,772	669,778
+947	001700__smallest_in_class_6	images_annotated/001700_001700__smallest_in_class_6.jpg	Which car is the smallest one in the image?	669,778	743,777	645,781	703,772
+948	001705__relation_nearest_to_unique_1	images_annotated/001705_001705__relation_nearest_to_unique_1.jpg	Which car is closest to the road sign?	740,778	699,773	806,774	664,778
+949	001705__leftmost_in_class_7	images_annotated/001705_001705__leftmost_in_class_7.jpg	Which car is positioned farthest to the left?	152,780	56,774	255,785	641,783
+950	001705__unique_class_8	images_annotated/001705_001705__unique_class_8.jpg	Where is the only road sign in the image?	807,774	740,778	1306,727	699,773
+951	001710__relation_nearest_to_unique_2	images_annotated/001710_001710__relation_nearest_to_unique_2.jpg	Which car is closest to the road sign?	738,780	698,774	806,775	661,780
+952	001710__leftmost_in_class_0	images_annotated/001710_001710__leftmost_in_class_0.jpg	Which car is the leftmost one in the scene?	46,777	141,782	246,788	636,785
+953	001710__unique_class_5	images_annotated/001710_001710__unique_class_5.jpg	Where is the road sign located?	806,775	738,780	698,774	1311,728
+954	001715__smallest_in_class_2	images_annotated/001715_001715__smallest_in_class_2.jpg	Which car is the smallest in the scene?	658,780	735,780	633,785	695,773
+955	001715__leftmost_in_class_6	images_annotated/001715_001715__leftmost_in_class_6.jpg	Which car is the leftmost in the image?	130,782	233,787	42,775	633,785
+956	001715__relation_nearest_to_unique_7	images_annotated/001715_001715__relation_nearest_to_unique_7.jpg	Which car is nearest to the person?	804,775	735,780	695,773	658,780
+957	001720__largest_in_class_4	images_annotated/001720_001720__largest_in_class_4.jpg	Find the largest car on the left side of the road.	120,781	223,787	36,774	629,785
+958	001720__smallest_in_class_5	images_annotated/001720_001720__smallest_in_class_5.jpg	Which car is the smallest in the group?	655,779	733,779	629,785	693,775
+959	001720__quadrant_hint_3	images_annotated/001720_001720__quadrant_hint_3.jpg	Where is the person standing on the far right?	804,774	733,779	1311,762	693,775
+960	001725__smallest_in_class_0	images_annotated/001725_001725__smallest_in_class_0.jpg	Which car is the smallest one on the road?	653,778	731,777	627,783	689,772
+961	001725__largest_in_class_5	images_annotated/001725_001725__largest_in_class_5.jpg	Find the largest car in the image.	112,780	215,784	30,773	627,783
+962	001725__quadrant_hint_6	images_annotated/001725_001725__quadrant_hint_6.jpg	Where is the object in the lower right quadrant?	1317,755	802,773	1125,735	731,777
+963	001730__leftmost_in_class_7	images_annotated/001730_001730__leftmost_in_class_7.jpg	Tap the leftmost car.	100,779	205,785	31,772	624,779
+964	001730__smallest_in_class_2	images_annotated/001730_001730__smallest_in_class_2.jpg	Find the smallest car in the scene.	728,777	689,771	650,778	624,779
+965	001730__rightmost_in_class_0	images_annotated/001730_001730__rightmost_in_class_0.jpg	Point to the rightmost car in the image.	801,773	728,777	689,771	650,778
+966	001735__relation_nearest_to_unique_4	images_annotated/001735_001735__relation_nearest_to_unique_4.jpg	Which car is closest to the rider?	727,777	687,770	649,777	801,772
+967	001735__leftmost_in_class_0	images_annotated/001735_001735__leftmost_in_class_0.jpg	Point to the leftmost car on the road.	96,779	199,784	25,771	621,777
+968	001735__unique_class_1	images_annotated/001735_001735__unique_class_1.jpg	Find the only person riding a bike in the image.	1144,737	800,772	727,777	687,770
+969	001740__relation_nearest_to_unique_6	images_annotated/001740_001740__relation_nearest_to_unique_6.jpg	Point to the car nearest to the person.	799,772	726,777	685,771	645,777
+970	001740__largest_in_class_3	images_annotated/001740_001740__largest_in_class_3.jpg	Find the largest car on the road.	85,779	194,784	19,774	617,783
+971	001740__smallest_in_class_5	images_annotated/001740_001740__smallest_in_class_5.jpg	Where is the smallest car in the image?	645,777	726,777	685,771	617,783
+972	001745__quadrant_hint_0	images_annotated/001745_001745__quadrant_hint_0.jpg	Find the person on the far right of the image.	1162,737	799,772	1323,754	725,776
+973	001745__unique_class_1	images_annotated/001745_001745__unique_class_1.jpg	Where is the person riding a bike?	1162,737	1323,754	799,772	725,776
+974	001750__rightmost_in_class_1	images_annotated/001750_001750__rightmost_in_class_1.jpg	Which car is on the far right of the road?	722,777	797,772	681,770	641,776
+975	001750__largest_in_class_4	images_annotated/001750_001750__largest_in_class_4.jpg	Which car is the largest in the scene?	68,776	611,782	177,783	641,776
+976	001750__quadrant_hint_5	images_annotated/001750_001750__quadrant_hint_5.jpg	Find the object in the lower right quadrant.	796,772	722,777	681,770	1171,735
+977	001755__smallest_in_class_2	images_annotated/001755_001755__smallest_in_class_2.jpg	Which car is the smallest one on the road?	639,776	721,776	609,781	680,770
+978	001755__rightmost_in_class_3	images_annotated/001755_001755__rightmost_in_class_3.jpg	Which car is the rightmost one in the image?	721,776	795,773	680,770	639,776
+979	001755__unique_class_4	images_annotated/001755_001755__unique_class_4.jpg	Where is the only person riding a bike in the scene?	1181,733	1324,759	795,773	721,776
+980	001760__relation_nearest_to_unique_4	images_annotated/001760_001760__relation_nearest_to_unique_4.jpg	Which car is closest to the person on the right?	720,776	679,769	636,776	795,772
+981	001760__largest_in_class_1	images_annotated/001760_001760__largest_in_class_1.jpg	Find the largest car in the image.	55,775	607,781	165,781	636,776
+982	001760__smallest_in_class_5	images_annotated/001760_001760__smallest_in_class_5.jpg	Find the smallest car in the image.	720,776	680,769	636,776	607,781
+983	001765__largest_in_class_1	images_annotated/001765_001765__largest_in_class_1.jpg	Find the largest car on the left side of the road.	156,781	52,774	606,783	636,777
+984	001765__leftmost_in_class_0	images_annotated/001765_001765__leftmost_in_class_0.jpg	Point to the leftmost car in the image.	156,781	606,783	52,774	636,777
+985	001765__smallest_in_class_4	images_annotated/001765_001765__smallest_in_class_4.jpg	Where is the smallest car in the image?	719,777	636,777	606,783	678,768
+986	001770__quadrant_hint_1	images_annotated/001770_001770__quadrant_hint_1.jpg	Where is the rider located in the lower right quadrant?	1212,734	1211,774	1322,762	793,773
+987	001770__unique_class_2	images_annotated/001770_001770__unique_class_2.jpg	Point to the person walking on the far right.	1211,774	1211,734	793,773	1323,762
+988	001775__quadrant_hint_0	images_annotated/001775_001775__quadrant_hint_0.jpg	Where is the rider in the lower right corner?	1223,776	792,773	716,777	1221,733
+989	001775__relation_nearest_to_unique_1	images_annotated/001775_001775__relation_nearest_to_unique_1.jpg	Where is the rider nearest to the cyclist?	1221,733	1223,776	792,773	716,777
+990	001780__largest_in_class_1	images_annotated/001780_001780__largest_in_class_1.jpg	Find the largest car in the image.	142,779	45,770	600,781	631,776
+991	001780__leftmost_in_class_0	images_annotated/001780_001780__leftmost_in_class_0.jpg	Which car is the leftmost one in the image?	143,779	44,770	600,781	631,776
+992	001780__unique_class_3	images_annotated/001780_001780__unique_class_3.jpg	Where is the cyclist riding across the street?	1233,732	1316,762	791,774	1236,777
+993	001785__leftmost_in_class_2	images_annotated/001785_001785__leftmost_in_class_2.jpg	Point to the leftmost car on the street.	42,771	143,778	598,783	630,777
+994	001785__largest_in_class_3	images_annotated/001785_001785__largest_in_class_3.jpg	Find the largest car on the left side of the road.	42,771	142,778	598,783	630,777
+995	001785__quadrant_hint_6	images_annotated/001785_001785__quadrant_hint_6.jpg	Find the person in the lower right corner of the image.	1246,778	1244,735	791,774	1311,768
+996	001790__largest_in_class_2	images_annotated/001790_001790__largest_in_class_2.jpg	Find the largest car on the road.	41,771	598,784	630,776	140,778
+997	001790__rightmost_in_class_6	images_annotated/001790_001790__rightmost_in_class_6.jpg	Where is the rightmost car in the image?	713,778	791,775	674,770	630,776
+998	001790__leftmost_in_class_1	images_annotated/001790_001790__leftmost_in_class_1.jpg	Point to the leftmost car in the image.	40,771	140,778	598,784	630,776
+999	001795__leftmost_in_class_1	images_annotated/001795_001795__leftmost_in_class_1.jpg	Which car is the leftmost one in the scene?	137,778	596,783	40,771	629,777
+1000	001795__unique_class_2	images_annotated/001795_001795__unique_class_2.jpg	Point to the rider on the bicycle.	1273,783	1271,733	791,775	713,779
+1001	001795__quadrant_hint_0	images_annotated/001795_001795__quadrant_hint_0.jpg	Where is the cyclist on the right side of the road?	1272,733	791,775	1273,783	713,779
+1002	001800__smallest_in_class_0	images_annotated/001800_001800__smallest_in_class_0.jpg	Which car is the smallest in the scene?	713,778	628,777	672,769	596,782
+1003	001800__rightmost_in_class_2	images_annotated/001800_001800__rightmost_in_class_2.jpg	Which car is positioned furthest to the right?	789,774	713,778	672,769	628,777
+1004	001800__relation_nearest_to_unique_4	images_annotated/001800_001800__relation_nearest_to_unique_4.jpg	Which object is nearest to the rider?	1288,783	1288,735	790,774	713,778
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+# How to run `prep_refdrone_data.py`
+
+This script prepares the **RefDrone test split** for public inference. It is
+strictly **web-only**: every annotation and image is downloaded from a public
+mirror on each run. The script never reads any pre-existing local copy of
+RefDrone or VisDrone elsewhere on disk.
+
+## Prerequisites
+
+- Python 3.8 or later
+- Internet access (for HuggingFace and the VisDrone image mirrors)
+- About **1 GB** of free disk for the temporary archive plus the extracted images
+
+## Web sources
+
+| What | Source | Size |
+| --- | --- | --- |
+| Annotation JSON (`RefDrone_test_mdetr.json`) | `https://huggingface.co/datasets/sunzc-sunny/RefDrone/resolve/main/RefDrone_test_mdetr.json` | ~3.3 MB |
+| Image archive (`VisDrone2019-DET-test-dev.zip`) — primary | `https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-test-dev.zip` (Ultralytics GitHub Release) | ~297 MB |
+| Image archive — fallback | Google Drive id `1PFdW_VFSCfZ_sTSZAGjQdifF_Xd5mf0V` via `gdown` (canonical link from `https://github.com/VisDrone/VisDrone-Dataset`) | ~297 MB |
+
+The image archive is tried in the order listed. The script falls through to the
+next mirror automatically if one fails (including the well-known Google Drive
+"too many users" quota error).
+
+## Step 1 — Navigate to the repo root
+
+```bash
+cd /path/to/iib
+```
+
+The script's repo root is the `iib/` directory. All commands below are run from
+there.
+
+## Step 2 — Install `gdown` (only required for the Google Drive fallback)
+
+```bash
+pip install gdown
+```
+
+If the primary HTTPS mirror works, `gdown` is not invoked. Installing it
+up-front is still recommended so the fallback works on machines where the
+primary mirror is unreachable.
+
+## Step 3 — Run the script
+
+```bash
+python3 scripts/refdrone/prep_refdrone_data.py
+```
+
+Flags:
+
+| Flag | Effect |
+| --- | --- |
+| `--force` | Re-download annotation and image archive even if outputs exist |
+| `--keep-zip` | Keep the downloaded `VisDrone2019-DET-test-dev.zip` after extraction (default: deleted) |
+
+## What the script does
+
+1. Downloads `RefDrone_test_mdetr.json` from HuggingFace (~3.3 MB).
+2. Parses the annotation and writes `refdrone_data.jsonl` (3,276 rows, one per
+   referring expression — no GT bboxes are ever written to this file).
+3. Downloads `VisDrone2019-DET-test-dev.zip` (~297 MB) from the first working
+   mirror, validates size, validates SHA-256, extracts the 1,503 required
+   images into `images/`, then deletes the zip (unless `--keep-zip`).
+4. Writes a `data_summary.json` report under `reports/` recording which
+   mirror was used.
+5. Hard-validates final counts: exactly **3,276** JSONL rows and exactly
+   **1,503** `.jpg` files. Any mismatch aborts with a non-zero exit code.
+
+## Output structure
+
+Outputs are written under the repo root at:
+
+```
+iib/LMUData/Spatial/2d_referring_expressions/refdrone/
+├── refdrone_data.jsonl                       # 3,276 rows
+├── annotations_raw/
+│   └── RefDrone_test_mdetr.json              # ~3.3 MB
+├── images/                                    # 1,503 .jpg files
+└── reports/
+    └── data_summary.json
+```
+
+## Step 4 — Verify success
+
+```bash
+ROOT=iib/LMUData/Spatial/2d_referring_expressions/refdrone
+
+# Annotation row count — must be 3276
+wc -l "$ROOT/refdrone_data.jsonl"
+
+# Image count — must be 1503
+find "$ROOT/images" -name '*.jpg' | wc -l
+
+# Confirm files_missing is 0 in the summary report
+python3 -c "import json; print(json.load(open('$ROOT/reports/data_summary.json'))['images']['files_missing'])"
+```
+
+A run is successful only when:
+
+- `refdrone_data.jsonl` has **exactly 3,276 lines**, and
+- `images/` contains **exactly 1,503 `.jpg` files**, and
+- The script ended with `Preparation complete (web-only download verified).`
+
+The script enforces these checks itself in step 5 of its own flow and exits
+non-zero on any deviation.
+
+## Re-running
+
+```
+python3 scripts/refdrone/prep_refdrone_data.py            # normal run; reuses prior outputs from this script
+python3 scripts/refdrone/prep_refdrone_data.py --force    # ignore prior outputs, re-download from scratch
+python3 scripts/refdrone/prep_refdrone_data.py --keep-zip # keep the 297 MB zip after extraction
+```
+
+A re-run after a partial failure is safe: if a previous run already extracted
+all 1,503 images into `images/`, the script logs that fact explicitly and
+skips re-downloading. This is the only on-disk reuse the script performs;
+external local copies of VisDrone or RefDrone elsewhere on the machine are
+never consulted.
+
+## Troubleshooting
+
+### Primary HTTPS mirror unreachable
+
+```
+[images] Mirror FAILED: ultralytics-github-release — <error>
+[images] Trying mirror: google-drive-original (gdrive)
+```
+
+The script automatically advances to the Google Drive fallback. No action
+needed unless both mirrors fail.
+
+### Google Drive quota error
+
+```
+[images] Mirror FAILED: google-drive-original — Google Drive refused the
+request (likely quota / 'too many users' throttling): ...
+```
+
+If this is the *only* failure (primary mirror succeeded), the run already
+finished correctly. If both mirrors failed, the script aborts with `ERROR: All
+image-zip mirrors failed.` Wait an hour and retry, or download the zip in a
+browser from
+`https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-test-dev.zip`
+and re-run; the script will resume.
+
+### Behind a firewall that blocks GitHub release assets
+
+Allowlist `release-assets.githubusercontent.com` (Microsoft Azure Blob backend
+for GitHub Releases). With that domain blocked, the primary mirror cannot
+download even the redirected URL.
+
+### `gdown` not installed
+
+```
+ERROR: gdown is required ... Install it with: pip install gdown
+```
+
+Run `pip install gdown`. The fallback Google Drive mirror needs it; the
+primary HTTPS mirror does not.
+
+### Checksum mismatch on the downloaded zip
+
+```
+ERROR: Checksum mismatch for VisDrone2019-DET-test-dev.zip
+  The file has been deleted.  Re-run the script to download again.
+```
+
+The download was truncated or the upstream file changed. The corrupt zip is
+already removed; just re-run the script. The script tries each mirror's own
+SHA-256, so a successful download from any mirror is byte-verified.
+
+### Final-validation failure
+
+```
+[validate] FAILED:
+  - <one or more issues>
+ERROR: Output validation failed.
+```
+
+The dataset is incomplete or corrupted. Run with `--force` to redo the
+downloads from scratch.
diff --git a/data/Referring Expressions/prep_refdrone_data.py b/data/Referring Expressions/prep_refdrone_data.py
new file mode 100644
index 0000000000000000000000000000000000000000..26f06af100b0bcc6c28af1de0b769c604d90c9c8
--- /dev/null
+++ b/data/Referring Expressions/prep_refdrone_data.py	
@@ -0,0 +1,773 @@
+#!/usr/bin/env python3
+"""
+prep_refdrone_data.py
+
+Public inference data prep script for the RefDrone test split.
+Inference-only variant of prep_refdrone_eval.py — GT bboxes are never written.
+
+Produces:
+    <repo_root>/LMUData/Spatial/2d_referring_expressions/refdrone/
+    ├── refdrone_data.jsonl             # PUBLIC — one row per expression, NO GT bboxes
+    ├── annotations_raw/
+    │   └── RefDrone_test_mdetr.json
+    ├── images/
+    │   └── <1503 VisDrone test-dev images>
+    └── reports/
+        └── data_summary.json
+
+Filtering is identical to prep_refdrone_eval.py:
+  - 3,432 raw expressions → 3,276 kept (156 no-target removed)
+  - 1,595 raw images      → 1,503 kept (92 fully-empty images removed)
+
+Each JSONL row (one sentence = one row):
+    {
+        "image":    "<file_name>",
+        "sentence": "<referring expression>",
+        "width":    <int>,
+        "height":   <int>
+    }
+
+=== Web-only data acquisition (no local fallbacks) ===
+
+The script downloads everything from the internet on every run. It never
+reads from any pre-existing local copy of RefDrone or VisDrone.
+
+The only short-circuit is detecting outputs from a previous successful run
+of *this same script* in its own output directory; that is logged
+explicitly. Pass --force to re-download from scratch.
+
+Image-zip mirrors (tried in order):
+  1. Ultralytics GitHub release (direct HTTPS, ~297 MB)
+       https://github.com/ultralytics/assets/releases/download/v0.0.0/
+         VisDrone2019-DET-test-dev.zip
+  2. Google Drive (via gdown, fallback)
+       https://drive.google.com/uc?id=1PFdW_VFSCfZ_sTSZAGjQdifF_Xd5mf0V
+       (canonical link from https://github.com/VisDrone/VisDrone-Dataset)
+
+=== Usage ===
+
+  python scripts/refdrone/prep_refdrone_data.py [--force] [--keep-zip]
+
+Options:
+  --force     Re-download and re-convert even if outputs already exist.
+  --keep-zip  Keep the downloaded VisDrone zip after extraction.
+"""
+
+import argparse
+import hashlib
+import json
+import shutil
+import sys
+import zipfile
+from collections import defaultdict
+from datetime import datetime, timezone
+from pathlib import Path
+from urllib.request import urlopen, Request
+from urllib.error import URLError, HTTPError
+
+
+# ---------------------------------------------------------------------------
+# Constants
+# ---------------------------------------------------------------------------
+
+# This script lives at <repo_root>/scripts/refdrone/prep_refdrone_data.py
+REPO_ROOT = Path(__file__).resolve().parent.parent.parent
+
+DATASET_OUT_DIR = REPO_ROOT / "LMUData" / "Spatial" / "2d_referring_expressions" / "refdrone"
+ANN_RAW_DIR     = DATASET_OUT_DIR / "annotations_raw"
+IMAGES_DIR      = DATASET_OUT_DIR / "images"
+REPORTS_DIR     = DATASET_OUT_DIR / "reports"
+OUTPUT_JSONL    = DATASET_OUT_DIR / "refdrone_data.jsonl"
+SUMMARY_JSON    = REPORTS_DIR / "data_summary.json"
+
+ANN_FILENAME = "RefDrone_test_mdetr.json"
+ANN_RAW_PATH = ANN_RAW_DIR / ANN_FILENAME
+
+# RefDrone test annotation — direct download from HuggingFace (no auth required)
+HF_ANN_URL = (
+    "https://huggingface.co/datasets/sunzc-sunny/RefDrone"
+    "/resolve/main/RefDrone_test_mdetr.json"
+)
+
+# VisDrone 2019 DET test-dev image set — public mirrors (web-only)
+# Canonical source: https://github.com/VisDrone/VisDrone-Dataset
+VISDRONE_SOURCE_URL = "https://github.com/VisDrone/VisDrone-Dataset"
+GDRIVE_ZIP_NAME     = "VisDrone2019-DET-test-dev.zip"
+
+# Mirrors are tried in order. Each entry has its own SHA-256 because
+# different mirrors may re-pack the archive (different zip metadata) while
+# containing the same JPEG bytes.
+IMAGE_ZIP_MIRRORS = [
+    {
+        "name":   "ultralytics-github-release",
+        "kind":   "https",
+        "url":    "https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-test-dev.zip",
+        "sha256": "b28a94b06dfd9e36ce77ff8155fb82b9d2c030f198a76105933bd56c6ea6a68d",
+    },
+    {
+        "name":      "google-drive-original",
+        "kind":      "gdrive",
+        "url":       "https://drive.google.com/uc?id=1PFdW_VFSCfZ_sTSZAGjQdifF_Xd5mf0V",
+        "gdrive_id": "1PFdW_VFSCfZ_sTSZAGjQdifF_Xd5mf0V",
+        "sha256":    "78b0c5078a14ee43d0b803a354e76016d7260d1704cfd1c2dc821858d839e261",
+    },
+]
+
+# The image archive must be at least this many bytes; both known mirrors
+# report ~311 MB. A truncated download fails this gate before SHA check.
+IMAGE_ZIP_MIN_BYTES = 300_000_000
+
+# Expected counts — used as hard validation gates after extraction.
+EXPECTED_TOTAL_EXPRESSIONS = 3432
+EXPECTED_KEPT_EXPRESSIONS  = 3276
+EXPECTED_UNIQUE_IMAGES     = 1503
+
+# Fields that must never appear in a public inference row
+_FORBIDDEN_GT_FIELDS = frozenset({
+    "bbox", "bboxes", "gt_bboxes", "answer", "gpt", "annotations",
+})
+
+
+# ---------------------------------------------------------------------------
+# Logging
+# ---------------------------------------------------------------------------
+
+def log(msg: str = "") -> None:
+    print(msg, flush=True)
+
+
+# ---------------------------------------------------------------------------
+# gdown dependency management
+# ---------------------------------------------------------------------------
+
+def ensure_gdown() -> None:
+    """
+    Verify that gdown is importable.  Exits with an actionable message if not.
+    """
+    try:
+        import gdown  # noqa: F401
+    except ImportError:
+        sys.exit(
+            "ERROR: gdown is required to download the VisDrone image archive "
+            "from Google Drive, but it is not installed.\n"
+            "  Install it with:\n"
+            "    pip install gdown\n"
+            "  Then re-run this script."
+        )
+
+
+# ---------------------------------------------------------------------------
+# Checksum validation
+# ---------------------------------------------------------------------------
+
+def verify_sha256(path: Path, expected: str) -> None:
+    """Compute SHA-256 of *path* and exit with a clear error if it does not match."""
+    log(f"  Verifying checksum of {path.name} ...")
+    h = hashlib.sha256()
+    with open(path, "rb") as f:
+        for block in iter(lambda: f.read(1 << 20), b""):
+            h.update(block)
+    actual = h.hexdigest()
+    if actual != expected:
+        path.unlink(missing_ok=True)
+        sys.exit(
+            f"ERROR: Checksum mismatch for {path.name}\n"
+            f"  Expected : {expected}\n"
+            f"  Got      : {actual}\n"
+            "  The file has been deleted.  Re-run the script to download again."
+        )
+    log(f"  Checksum OK ({actual[:16]}...)")
+
+
+# ---------------------------------------------------------------------------
+# Generic download helper
+# ---------------------------------------------------------------------------
+
+def download_file(url: str, dest: Path, label: str = "") -> None:
+    """Stream-download *url* into *dest* with a progress indicator."""
+    label = label or dest.name
+    log(f"  Downloading {label} ...")
+    log(f"    URL: {url}")
+    req = Request(url, headers={"User-Agent": "Mozilla/5.0"})
+    try:
+        with urlopen(req, timeout=120) as resp, open(dest, "wb") as out:
+            total = int(resp.headers.get("Content-Length", 0))
+            downloaded = 0
+            chunk = 1 << 18  # 256 KB
+            while True:
+                block = resp.read(chunk)
+                if not block:
+                    break
+                out.write(block)
+                downloaded += len(block)
+                if total:
+                    pct = downloaded / total * 100
+                    print(
+                        f"\r    {downloaded/1e6:.1f} / {total/1e6:.1f} MB"
+                        f"  ({pct:.0f}%)",
+                        end="", flush=True,
+                    )
+            print()
+    except (HTTPError, URLError) as exc:
+        if dest.exists():
+            dest.unlink()
+        sys.exit(f"\nERROR: Download failed for {url}\n  Reason: {exc}")
+    log(f"  Saved {dest.stat().st_size / 1e6:.1f} MB -> {dest}")
+
+
+# ---------------------------------------------------------------------------
+# Step 1 — Annotation
+# ---------------------------------------------------------------------------
+
+def ensure_annotation(force: bool) -> tuple:
+    """
+    Download the RefDrone test annotation from HuggingFace.
+
+    Web-only: never reads from any pre-existing local copy. The only "skip"
+    case is detecting a previous successful download by *this same script*
+    (i.e. the file already lives at ANN_RAW_PATH inside the script's own
+    output tree); that case is logged explicitly. Pass --force to ignore it
+    and re-download.
+
+    Returns (path, strategy_string).
+    """
+    ANN_RAW_DIR.mkdir(parents=True, exist_ok=True)
+
+    if ANN_RAW_PATH.exists() and not force:
+        log(f"[annotation] Reusing previous download by this script "
+            f"({ANN_RAW_PATH.stat().st_size/1e6:.1f} MB at {ANN_RAW_PATH}). "
+            f"Pass --force to re-download.")
+        return ANN_RAW_PATH, "reused_previous_download"
+
+    log(f"[annotation] Downloading from HuggingFace ...")
+    download_file(HF_ANN_URL, ANN_RAW_PATH, label=ANN_FILENAME)
+    if not ANN_RAW_PATH.exists() or ANN_RAW_PATH.stat().st_size == 0:
+        sys.exit(
+            f"ERROR: Annotation download produced no file at {ANN_RAW_PATH}.\n"
+            f"  Source: {HF_ANN_URL}"
+        )
+    return ANN_RAW_PATH, f"downloaded:{HF_ANN_URL}"
+
+
+# ---------------------------------------------------------------------------
+# Step 2 — Parse and convert annotations
+# ---------------------------------------------------------------------------
+
+def load_annotation(ann_path: Path) -> dict:
+    with open(ann_path, encoding="utf-8") as f:
+        data = json.load(f)
+    required = {"images", "annotations", "categories"}
+    if not isinstance(data, dict) or not required.issubset(data.keys()):
+        sys.exit(f"ERROR: {ann_path} is not a valid MDETR-style JSON.")
+    return data
+
+
+def convert_annotations(data: dict) -> tuple:
+    """
+    Convert MDETR-style RefDrone data into flat public inference records.
+
+    Filtering is identical to prep_refdrone_eval.py:
+      - Expressions where every annotation has "empty": True are skipped.
+
+    Each output record contains exactly: image, sentence, width, height.
+    No GT bboxes are included.
+
+    Returns:
+        records        : list of flat dicts — one entry per referring expression
+        stats          : summary counters
+        required_files : set of unique image filenames needed
+    """
+    by_expr: dict = defaultdict(list)
+    for ann in data["annotations"]:
+        by_expr[ann["image_id"]].append(ann)
+
+    records:        list = []
+    required_files: set  = set()
+
+    stats = dict(
+        total_expressions  = len(data["images"]),
+        kept               = 0,
+        skipped_no_target  = 0,
+    )
+
+    for img_entry in data["images"]:
+        expr_id   = img_entry["id"]
+        file_name = img_entry["file_name"]
+        caption   = img_entry["caption"]
+        img_w     = img_entry["width"]
+        img_h     = img_entry["height"]
+
+        anns         = by_expr.get(expr_id, [])
+        is_no_target = all(a.get("empty", False) for a in anns) if anns else True
+
+        # --- identical filter from prep_refdrone_eval.py ---
+        if is_no_target:
+            stats["skipped_no_target"] += 1
+            continue
+
+        records.append({
+            "image":    file_name,
+            "sentence": caption,
+            "width":    img_w,
+            "height":   img_h,
+        })
+
+        required_files.add(file_name)
+        stats["kept"] += 1
+
+    return records, stats, required_files
+
+
+# ---------------------------------------------------------------------------
+# Step 3 — Images (web-only, multi-mirror)
+# ---------------------------------------------------------------------------
+
+def _extract_needed(zip_path: Path, required_files: set, force: bool) -> dict:
+    IMAGES_DIR.mkdir(parents=True, exist_ok=True)
+    log(f"  Extracting required images from zip ({zip_path.stat().st_size/1e6:.0f} MB) ...")
+    copied, skipped, not_in_zip = 0, 0, []
+    with zipfile.ZipFile(zip_path, "r") as zf:
+        idx = {Path(n).name: n for n in zf.namelist() if n.lower().endswith(".jpg")}
+        for fname in sorted(required_files):
+            dest = IMAGES_DIR / fname
+            if dest.exists() and not force:
+                skipped += 1
+                continue
+            entry = idx.get(fname)
+            if entry is None:
+                not_in_zip.append(fname)
+                continue
+            with zf.open(entry) as src, open(dest, "wb") as out:
+                shutil.copyfileobj(src, out)
+            copied += 1
+    return dict(copied=copied, skipped=skipped, not_in_zip=not_in_zip)
+
+
+def _validate_zip_size(zip_path: Path) -> None:
+    """Reject obviously-truncated archives before SHA-256 is even attempted."""
+    if not zip_path.exists():
+        raise RuntimeError(f"zip not present after download: {zip_path}")
+    size = zip_path.stat().st_size
+    if size < IMAGE_ZIP_MIN_BYTES:
+        raise RuntimeError(
+            f"zip is {size/1e6:.1f} MB, expected at least "
+            f"{IMAGE_ZIP_MIN_BYTES/1e6:.0f} MB — looks truncated"
+        )
+
+
+def _download_https(url: str, dest_zip: Path) -> None:
+    log(f"  Downloading VisDrone test-dev zip via HTTPS ...")
+    log(f"    URL  : {url}")
+    log(f"    Dest : {dest_zip}")
+    download_file(url, dest_zip, label=GDRIVE_ZIP_NAME)
+
+
+def _download_gdrive(gdrive_id: str, dest_zip: Path) -> None:
+    """
+    Google Drive download via gdown.
+
+    Cleanly handles the common "Too many users" quota error
+    (gdown.exceptions.FileURLRetrievalError) by re-raising as RuntimeError so
+    the mirror dispatcher can move on to the next mirror without exiting.
+    """
+    ensure_gdown()
+    import gdown
+    from gdown.exceptions import FileURLRetrievalError
+
+    log(f"  Downloading VisDrone test-dev zip from Google Drive ...")
+    log(f"    File ID : {gdrive_id}")
+    log(f"    Dest    : {dest_zip}")
+    log(f"    Size    : ~297 MB — this may take a few minutes")
+
+    try:
+        result = gdown.download(
+            id=gdrive_id,
+            output=str(dest_zip),
+            quiet=False,
+            resume=True,
+        )
+    except FileURLRetrievalError as exc:
+        raise RuntimeError(
+            f"Google Drive refused the request (likely quota / "
+            f"'too many users' throttling): {exc}"
+        ) from exc
+
+    if result is None or not dest_zip.exists():
+        raise RuntimeError(
+            "gdown returned no file. Google Drive may be throttling this "
+            "asset; the script will try the next mirror."
+        )
+
+
+def _try_mirror(mirror: dict, dest_zip: Path) -> None:
+    """Download a single mirror to dest_zip and verify its bytes."""
+    if mirror["kind"] == "https":
+        _download_https(mirror["url"], dest_zip)
+    elif mirror["kind"] == "gdrive":
+        _download_gdrive(mirror["gdrive_id"], dest_zip)
+    else:
+        raise RuntimeError(f"unknown mirror kind: {mirror['kind']!r}")
+    _validate_zip_size(dest_zip)
+    verify_sha256(dest_zip, mirror["sha256"])
+
+
+def ensure_images(required_files: set, force: bool, keep_zip: bool) -> dict:
+    """
+    Acquire the required VisDrone images. Web-only.
+
+    Behavior:
+      A. If every required image is already present in IMAGES_DIR (the
+         script's own output directory) from a previous successful run of
+         this script, that fact is logged and the step is skipped. Pass
+         --force to ignore this and re-download from scratch.
+      B. Otherwise, the VisDrone test-dev zip is downloaded from the first
+         working mirror in IMAGE_ZIP_MIRRORS (HTTPS first, Google Drive
+         second), validated by size and SHA-256, then the needed images are
+         extracted into IMAGES_DIR.
+
+    No external local copy of VisDrone or RefDrone is ever consulted. The
+    only on-disk reuse is the script's own prior output, which is logged.
+    """
+    IMAGES_DIR.mkdir(parents=True, exist_ok=True)
+
+    already_present = {f for f in required_files if (IMAGES_DIR / f).exists()}
+    if len(already_present) == len(required_files) and not force:
+        log(f"[images] All {len(required_files)} images already extracted by a "
+            f"previous run of this script into {IMAGES_DIR} — reusing. "
+            f"Pass --force to re-download.")
+        return dict(
+            strategy = "reused_previous_extraction",
+            copied   = 0,
+            skipped  = len(already_present),
+            missing  = [],
+            mirror   = None,
+        )
+
+    still_needed = required_files - already_present if not force else set(required_files)
+    log(f"[images] {len(already_present)} already extracted by prior run; "
+        f"{len(still_needed)} need to be downloaded.")
+
+    tmp_zip = DATASET_OUT_DIR / GDRIVE_ZIP_NAME
+    if tmp_zip.exists() and not force:
+        log(f"  [resume] Partial or complete zip from a prior run found at "
+            f"{tmp_zip} — will validate and reuse if intact.")
+
+    mirror_used = None
+    mirror_errors: list = []
+    for mirror in IMAGE_ZIP_MIRRORS:
+        log(f"[images] Trying mirror: {mirror['name']} ({mirror['kind']})")
+        log(f"          URL: {mirror['url']}")
+        try:
+            _try_mirror(mirror, tmp_zip)
+            mirror_used = mirror["name"]
+            log(f"[images] Mirror OK: {mirror['name']}")
+            break
+        except Exception as exc:
+            log(f"[images] Mirror FAILED: {mirror['name']} — {exc}")
+            mirror_errors.append(f"{mirror['name']}: {exc}")
+            if tmp_zip.exists():
+                try:
+                    tmp_zip.unlink()
+                except OSError:
+                    pass
+
+    if mirror_used is None:
+        sys.exit(
+            "ERROR: All image-zip mirrors failed. Tried:\n  - "
+            + "\n  - ".join(mirror_errors)
+            + "\n\n"
+              "Suggestions:\n"
+              "  * Check internet access.\n"
+              "  * If Google Drive is quota-throttled, try again in a few hours.\n"
+              "  * The Ultralytics mirror is hosted on GitHub Releases; if a\n"
+              "    corporate firewall blocks GitHub asset downloads, allowlist\n"
+              "    release-assets.githubusercontent.com.\n"
+        )
+
+    result = _extract_needed(tmp_zip, still_needed, force)
+    missing = [f for f in still_needed if not (IMAGES_DIR / f).exists()]
+    result.update(
+        strategy = f"downloaded_from:{mirror_used}",
+        mirror   = mirror_used,
+        missing  = missing,
+    )
+
+    if not keep_zip:
+        log(f"  Deleting downloaded zip to free space ({tmp_zip.stat().st_size/1e6:.0f} MB) ...")
+        tmp_zip.unlink()
+        log("  Zip deleted.")
+    else:
+        log(f"  Keeping zip at {tmp_zip} (--keep-zip set).")
+
+    return result
+
+
+# ---------------------------------------------------------------------------
+# Step 4 — Write outputs
+# ---------------------------------------------------------------------------
+
+def _gt_field_present(record: dict) -> bool:
+    """Return True if any forbidden GT bbox field is found in a record."""
+    return bool(_FORBIDDEN_GT_FIELDS & record.keys())
+
+
+def write_jsonl(records: list, force: bool) -> None:
+    """Write the public inference file.  Aborts if any GT field is detected."""
+    if OUTPUT_JSONL.exists() and not force:
+        log(f"[output] {OUTPUT_JSONL.name} already exists — skipping (use --force to overwrite).")
+        return
+
+    leaked = [r.get("image", "?") for r in records if _gt_field_present(r)]
+    if leaked:
+        sys.exit(
+            f"ERROR: GT bbox fields detected in {len(leaked)} inference record(s). "
+            "Aborting to prevent leakage.\n"
+            f"  First offending image: {leaked[0]}"
+        )
+
+    DATASET_OUT_DIR.mkdir(parents=True, exist_ok=True)
+    with open(OUTPUT_JSONL, "w", encoding="utf-8") as f:
+        for record in records:
+            f.write(json.dumps(record, ensure_ascii=False) + "\n")
+    log(
+        f"[output] Written: {OUTPUT_JSONL}  "
+        f"({OUTPUT_JSONL.stat().st_size/1e6:.2f} MB, {len(records)} records)"
+    )
+
+
+def write_summary(
+    conv_stats:     dict,
+    img_stats:      dict,
+    required_files: set,
+    ann_strategy:   str,
+) -> dict:
+    REPORTS_DIR.mkdir(parents=True, exist_ok=True)
+
+    images_on_disk = len(list(IMAGES_DIR.glob("*.jpg"))) if IMAGES_DIR.exists() else 0
+    missing        = img_stats.get("missing", [])
+
+    report = {
+        "generated_at": datetime.now(timezone.utc).isoformat(),
+        "script":       "prep_refdrone_data.py",
+        "annotation": {
+            "source_url": HF_ANN_URL,
+            "strategy":   ann_strategy,
+            "path":       str(ANN_RAW_PATH),
+        },
+        "images": {
+            "source_url":                VISDRONE_SOURCE_URL,
+            "mirrors_configured":        [m["name"] for m in IMAGE_ZIP_MIRRORS],
+            "mirror_used":               img_stats.get("mirror"),
+            "acquisition_strategy":      img_stats.get("strategy", "unknown"),
+            "unique_files_referenced":   len(required_files),
+            "unique_files_on_disk":      images_on_disk,
+            "files_copied_or_extracted": img_stats.get("copied", 0),
+            "files_already_present":     img_stats.get("skipped", 0),
+            "files_missing":             len(missing),
+            "missing_filenames":         missing[:20],
+        },
+        "expressions": {
+            "total_in_source":   conv_stats["total_expressions"],
+            "kept":              conv_stats["kept"],
+            "skipped_no_target": conv_stats["skipped_no_target"],
+        },
+        "gt_privacy": {
+            "gt_excluded_from_output_file": True,
+            "output_schema":               ["image", "sentence", "width", "height"],
+        },
+        "output_paths": {
+            "dataset_root": str(DATASET_OUT_DIR),
+            "output_jsonl": str(OUTPUT_JSONL),
+            "annotations":  str(ANN_RAW_PATH),
+            "images_dir":   str(IMAGES_DIR),
+            "report":       str(SUMMARY_JSON),
+        },
+    }
+
+    with open(SUMMARY_JSON, "w", encoding="utf-8") as f:
+        json.dump(report, f, indent=2)
+    log(f"[report] Written: {SUMMARY_JSON}")
+    return report
+
+
+# ---------------------------------------------------------------------------
+# Step 5 — Final validation (hard fail on any issue)
+# ---------------------------------------------------------------------------
+
+def validate_outputs(conv_stats: dict, required_files: set) -> None:
+    """
+    Hard-fail validation of every output produced by the script.
+
+    Checks:
+      - directory structure exists
+      - annotation file is non-empty
+      - JSONL row count matches the kept-expression count and equals
+        EXPECTED_KEPT_EXPRESSIONS (3,276)
+      - every required image is present on disk
+      - .jpg count in IMAGES_DIR equals EXPECTED_UNIQUE_IMAGES (1,503)
+    """
+    log("[validate] Verifying output artifacts ...")
+    errors: list = []
+
+    for d in (DATASET_OUT_DIR, ANN_RAW_DIR, IMAGES_DIR, REPORTS_DIR):
+        if not d.is_dir():
+            errors.append(f"directory missing: {d}")
+
+    if not ANN_RAW_PATH.exists() or ANN_RAW_PATH.stat().st_size == 0:
+        errors.append(f"annotation missing or empty: {ANN_RAW_PATH}")
+
+    if not OUTPUT_JSONL.exists() or OUTPUT_JSONL.stat().st_size == 0:
+        errors.append(f"output JSONL missing or empty: {OUTPUT_JSONL}")
+    else:
+        with open(OUTPUT_JSONL, encoding="utf-8") as f:
+            row_count = sum(1 for _ in f)
+        if row_count != conv_stats["kept"]:
+            errors.append(
+                f"JSONL row count {row_count} != kept expressions {conv_stats['kept']}"
+            )
+        if row_count != EXPECTED_KEPT_EXPRESSIONS:
+            errors.append(
+                f"JSONL row count {row_count} != expected {EXPECTED_KEPT_EXPRESSIONS}"
+            )
+
+    if conv_stats["total_expressions"] != EXPECTED_TOTAL_EXPRESSIONS:
+        errors.append(
+            f"raw expression count {conv_stats['total_expressions']} != "
+            f"expected {EXPECTED_TOTAL_EXPRESSIONS}"
+        )
+    if len(required_files) != EXPECTED_UNIQUE_IMAGES:
+        errors.append(
+            f"unique image count {len(required_files)} != "
+            f"expected {EXPECTED_UNIQUE_IMAGES}"
+        )
+
+    missing = [f for f in required_files if not (IMAGES_DIR / f).exists()]
+    if missing:
+        preview = ", ".join(missing[:5])
+        more = f" (+{len(missing)-5} more)" if len(missing) > 5 else ""
+        errors.append(
+            f"{len(missing)} required image(s) not present in {IMAGES_DIR}: "
+            f"{preview}{more}"
+        )
+
+    images_on_disk = len(list(IMAGES_DIR.glob("*.jpg")))
+    if images_on_disk != EXPECTED_UNIQUE_IMAGES:
+        errors.append(
+            f"{images_on_disk} .jpg files in {IMAGES_DIR}, "
+            f"expected exactly {EXPECTED_UNIQUE_IMAGES}"
+        )
+
+    if errors:
+        log("[validate] FAILED:")
+        for e in errors:
+            log(f"  - {e}")
+        sys.exit(
+            "ERROR: Output validation failed. The dataset is incomplete or "
+            "corrupted. Re-run with --force to redo the downloads from "
+            "scratch."
+        )
+
+    log(f"[validate] OK — {EXPECTED_KEPT_EXPRESSIONS} JSONL rows, "
+        f"{EXPECTED_UNIQUE_IMAGES} images on disk.")
+
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description=(
+            "Prepare the RefDrone test split for public inference — "
+            "GT bboxes are never written by this script."
+        ),
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog=__doc__,
+    )
+    parser.add_argument(
+        "--force",
+        action="store_true",
+        help="Re-download and re-convert even if outputs already exist.",
+    )
+    parser.add_argument(
+        "--keep-zip",
+        action="store_true",
+        dest="keep_zip",
+        help="Keep the downloaded VisDrone zip after extraction (default: delete).",
+    )
+    args = parser.parse_args()
+
+    log("=" * 66)
+    log("  RefDrone test split — public inference data preparation")
+    log("  Mode: STRICT WEB-ONLY (no external local fallbacks)")
+    log("=" * 66)
+    log(f"  Repo root      : {REPO_ROOT}")
+    log(f"  Output root    : {DATASET_OUT_DIR}")
+    log(f"  Output file    : {OUTPUT_JSONL.name}")
+    log(f"  Force mode     : {args.force}")
+    log(f"  Keep zip       : {args.keep_zip}")
+    log(f"  Annotation src : {HF_ANN_URL}")
+    log(f"  Image mirrors  :")
+    for m in IMAGE_ZIP_MIRRORS:
+        log(f"                   - [{m['kind']}] {m['name']}: {m['url']}")
+    log()
+
+    # --- 1. Annotation ---
+    log("[1/5] Ensuring annotation file ...")
+    ann_path, ann_strategy = ensure_annotation(args.force)
+    log(f"      Annotation path: {ann_path}")
+    log()
+
+    # --- 2. Convert and write JSONL ---
+    log("[2/5] Parsing annotations and writing inference file ...")
+    data = load_annotation(ann_path)
+    records, conv_stats, required_files = convert_annotations(data)
+    log(f"      Expressions total    : {conv_stats['total_expressions']}")
+    log(f"      Kept                 : {conv_stats['kept']}")
+    log(f"      Skipped (no-target)  : {conv_stats['skipped_no_target']}")
+    log(f"      Unique images needed : {len(required_files)}")
+    write_jsonl(records, args.force)
+    log()
+
+    # --- 3. Images ---
+    log("[3/5] Ensuring images ...")
+    img_stats = ensure_images(required_files, args.force, args.keep_zip)
+    missing = img_stats.get("missing", [])
+    if missing:
+        log(f"  {len(missing)} image(s) not yet resolved (will be re-checked in [5/5]):")
+        for f in missing[:5]:
+            log(f"    {f}")
+        if len(missing) > 5:
+            log(f"    ... and {len(missing) - 5} more")
+    else:
+        log(f"  OK — all {len(required_files)} required images are in {IMAGES_DIR}")
+    log()
+
+    # --- 4. Report ---
+    log("[4/5] Writing summary report ...")
+    report = write_summary(conv_stats, img_stats, required_files, ann_strategy)
+    log()
+
+    # --- 5. Hard validation ---
+    log("[5/5] Validating outputs ...")
+    validate_outputs(conv_stats, required_files)
+    log()
+
+    # --- Final banner ---
+    images_on_disk = report["images"]["unique_files_on_disk"]
+    log("=" * 66)
+    log("  Preparation complete (web-only download verified).")
+    log()
+    log(f"  JSONL rows       : {conv_stats['kept']} (one per referring expression)")
+    log(f"  Unique images    : {len(required_files)}")
+    log(f"  GT bboxes        : EXCLUDED — not present in output file")
+    log()
+    log(f"  Output file      : {OUTPUT_JSONL}")
+    log(f"  Images on disk   : {images_on_disk} files in {IMAGES_DIR}")
+    log(f"  Summary report   : {SUMMARY_JSON}")
+    log(f"  Image mirror used: {img_stats.get('mirror') or 'reused-prior-extraction'}")
+    log("=" * 66)
+
+
+if __name__ == "__main__":
+    main()
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diff --git a/data/tracking/README.md b/data/tracking/README.md
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+# prepare_sot_dataset.py
+
+Prepares an evaluator-ready **Single Object Tracking (SOT)** dataset from a
+benchmark JSON/JSONL file and source camera videos hosted on Hugging Face.
+
+---
+
+## Files
+
+| File | Description |
+|---|---|
+| `sot_benchmark.jsonl` | Benchmark file defining all evaluation sequences — scene, camera, object, init bounding box, and canonical 8-frame IDs. |
+| `prepare_sot_dataset.py` | Script that downloads source videos and extracts frames into an evaluator-ready directory. |
+
+---
+
+## Overview
+
+The script:
+1. Reads `sot_benchmark.jsonl` (or a custom benchmark file) describing SOT sequences (scene, camera, target bounding box, frame IDs).
+2. Downloads the corresponding source `.mp4` files from the `nvidia/PhysicalAI-SmartSpaces` Hugging Face dataset (or a custom repo).
+3. Extracts the requested frames with `ffmpeg`.
+4. Annotates the initialization frame with a bounding-box overlay (`f00_ann.png`) and saves a cropped target thumbnail (`crop.png`).
+5. Writes a `sequence_meta.json` per sequence.
+6. Produces a `gt_requests.json` manifest. **Ground-truth bounding boxes are never written to the output directory** — see [GT Request Submission](#gt-request-submission) below.
+
+---
+
+## Prerequisites
+
+| Requirement | Notes |
+|---|---|
+| Python 3.8+ | |
+| `ffmpeg` | Must be on `PATH` (or in a few well-known locations). |
+| `huggingface_hub` | `pip install huggingface_hub` |
+| `opencv-python` **or** `Pillow` | Used for bbox drawing and cropping. `opencv-python` is preferred. |
+| HF access token | Read access to the source video dataset. |
+
+```bash
+pip install huggingface_hub opencv-python
+```
+
+---
+
+## Hugging Face Authentication
+
+A token with **read** access to `nvidia/PhysicalAI-SmartSpaces` is required.
+Pass it in one of two ways:
+
+```bash
+# Option A – command-line flag
+--hf-token hf_xxxxxxxxxxxx
+
+# Option B – environment variable (recommended for scripts/CI)
+export HF_TOKEN=hf_xxxxxxxxxxxx
+```
+
+---
+
+## Input Formats
+
+The script accepts four flavors of JSON / JSONL input.
+
+### 1. Standard benchmark JSON/JSONL *(most common)*
+
+```json
+[
+  {
+    "seq_id": "Warehouse_016__Camera_11__5600__obj353",
+    "scene": "Warehouse_016",
+    "camera": "Camera_11",
+    "object_id": "353",
+    "object_type": "Robot",
+    "init_frame_id": 5600,
+    "init_bbox": [799.0, 601.9, 918.8, 956.5],
+    "canonical_frame_ids": [5600, 5615, 5630, 5645, 5660, 5675, 5690, 5705],
+    "clip_fps": 30.0
+  }
+]
+```
+
+- `init_bbox` — normalized coordinates in **thousandths** of image dimensions
+  (`[x1, y1, x2, y2]` where 1000 = full width/height).
+- `canonical_frame_ids` — preferred source-video frame indices to extract.
+  When provided and long enough, they take priority over the stride calculation.
+
+### 2. Benchmark JSONL with explicit GT
+
+```json
+{"seq_id": "...", "canonical_frame_ids": [...], "gt_bboxes": {"5600": [...]}}
+```
+
+### 3. Dataset JSONL (metadata + conversations)
+
+```json
+{
+  "id": "...",
+  "metadata": {"scene": "...", "camera": "...", "init_bbox": [...], ...},
+  "conversations": [{"role": "user", "value": "..."}, {"role": "assistant", "value": "{\"5600\": [...]}"}]
+}
+```
+
+### 4. Sequence-only JSON/JSONL
+
+```json
+{"id": "...", "scene": "...", "camera": "...", "source_frame_ids": [...], "init_bbox": [...]}
+```
+
+---
+
+## Output Structure
+
+```
+<output_dir>/
+  gt_requests.json            # submit this to us to receive GT annotations (see below)
+  <seq_id>/
+    frames/
+      f00.png                 # initialization frame
+      f00_ann.png             # initialization frame with target bbox drawn
+      crop.png                # cropped target region
+      f01.png
+      f02.png
+      ...
+      f{N-1}.png
+    sequence_meta.json        # per-sequence metadata
+```
+
+### `sequence_meta.json` fields
+
+| Field | Description |
+|---|---|
+| `frame_ids` | Source-video frame indices that were extracted |
+| `init_bbox` | Target bounding box (thousandths) |
+| `label` | Human-readable sequence label |
+| `scene` / `camera` | Source identifiers |
+| `object_id` / `object_type` | Target object metadata |
+| `stride` | Frame stride used during extraction |
+| `nframes` | Number of frames extracted |
+| `clip_fps` | Frame rate of the source video |
+| `gt_available` | Always `false` (GT is private) |
+
+---
+
+## Usage
+
+### Minimal
+
+```bash
+python scripts/tracking/prepare_sot_dataset.py \
+    --benchmark sot_benchmark.jsonl \
+    --output-dir ./SOT_prepared_8f
+```
+
+### Extract 32 frames per sequence
+
+```bash
+python scripts/tracking/prepare_sot_dataset.py \
+    --benchmark sot_benchmark.jsonl \
+    --output-dir ./SOT_prepared_32f \
+    --nframes 32
+```
+
+### Custom frame stride
+
+```bash
+python scripts/tracking/prepare_sot_dataset.py \
+    --benchmark sot_benchmark.jsonl \
+    --output-dir ./SOT_prepared \
+    --nframes 16 \
+    --stride 10
+```
+
+### Process only specific sequences
+
+```bash
+python scripts/tracking/prepare_sot_dataset.py \
+    --benchmark sot_benchmark.jsonl \
+    --output-dir ./SOT_prepared \
+    --sequences Warehouse_016__Camera_11__5600__obj353 Warehouse_016__Camera_05__704__obj352
+```
+
+### Use a custom Hugging Face cache directory
+
+```bash
+python scripts/tracking/prepare_sot_dataset.py \
+    --benchmark sot_benchmark.jsonl \
+    --output-dir ./SOT_prepared \
+    --hf-token hf_xxxxxxxxxxxx \
+    --hf-cache-dir /data/hf_cache
+```
+
+### Windows (PowerShell)
+
+```powershell
+python scripts/tracking/prepare_sot_dataset.py `
+    --benchmark sot_benchmark.jsonl `
+    --output-dir .\SOT_prepared_8f `
+    --hf-token hf_xxxxxxxxxxxx
+```
+
+---
+
+## Command-Line Reference
+
+| Argument | Required | Default | Description |
+|---|---|---|---|
+| `--benchmark` | Yes | — | Path to the input benchmark JSON or JSONL file. |
+| `--output-dir` | Yes | — | Directory where prepared sequences are written. Created if it does not exist. |
+| `--nframes` | No | `8` | Number of frames to extract per sequence. |
+| `--stride` | No | auto | Source-video frame stride. When omitted, auto-computed from `clip_end_frame` or taken directly from `canonical_frame_ids`. |
+| `--hf-token` | No* | `$HF_TOKEN` | Hugging Face access token. Falls back to the `HF_TOKEN` environment variable. |
+| `--hf-cache-dir` | No | HF default | Cache directory for downloaded videos. |
+| `--repo-id` | No | `nvidia/PhysicalAI-SmartSpaces` | Hugging Face dataset repository. |
+| `--repo-subdir` | No | `MTMC_Tracking_2025` | Subdirectory inside the repository. |
+| `--sequences` | No | all | Space-separated list of `seq_id` values to prepare. All others are skipped. |
+
+\* Required in practice unless `HF_TOKEN` is set in the environment.
+
+---
+
+## Resuming an Interrupted Run
+
+The script checks how many frames already exist in each sequence's `frames/`
+directory. If the count equals or exceeds `--nframes`, that sequence is skipped
+automatically. You can safely re-run the command after an interruption; only
+incomplete sequences will be processed.
+
+---
+
+## Frame Stride Logic
+
+Frames are selected using this priority order:
+
+1. **`canonical_frame_ids`** in the benchmark — used directly when the list
+   has at least `--nframes` entries and `--stride` is not explicitly set.
+2. **`--stride`** — fixed stride supplied by the user.
+3. **Auto** — computed as `min(15, (clip_end_frame - init_frame_id) / (nframes - 1))`,
+   capped at the default stride of 15.
+
+---
+
+## Train / Val Split
+
+The script infers the dataset split from the scene name:
+
+- `Warehouse_000` – `Warehouse_014` → **train**
+- `Warehouse_015` and above → **val**
+
+This determines which subdirectory (`train/` or `val/`) is used when
+constructing the download path on Hugging Face.
+
+---
+
+## GT Request Submission
+
+The `sot_benchmark.jsonl` file defines the canonical **8-frame** evaluation sequences with fixed frame IDs. If you use the default settings (`--nframes 8` without `--stride`), no submission is needed — the benchmark frames are already known.
+
+If you run a **custom variant** (e.g. `--nframes 16`, `--nframes 32`, `--nframes 64`, or a custom `--stride`), the script will produce a `gt_requests.json` file in your output directory once preparation is complete. **Submit this file back to us** so we can look up and return the ground-truth annotations for your chosen frames.
+
+Send `gt_requests.json` to: *(benchmark contact TBD)*
+
+---
+
+## Evaluator Integration
+
+After preparation, point your evaluator config at the output directory:
+
+```json
+{
+  "prepared_data_dir": "./SOT_prepared_8f"
+}
+```
+
+---
+
+## Troubleshooting
+
+| Problem | Fix |
+|---|---|
+| `ERROR: ffmpeg not found` | Install ffmpeg and add it to `PATH`, or place it in `/usr/bin/ffmpeg`. |
+| `401 Unauthorized` from Hugging Face | Check that `--hf-token` / `HF_TOKEN` is set and has read access to the repo. |
+| Download retries / timeouts | The script retries up to 4 times with back-off. Check your network connection. |
+| Bounding boxes not drawn | Install `opencv-python` or `Pillow`. Without either, the script copies the raw frame without annotation. |
+| Sequence not found in output | Verify the `seq_id` value; use `--sequences <seq_id>` to test a single entry. |
diff --git a/data/tracking/prepare_sot_dataset.py b/data/tracking/prepare_sot_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..a0c57848b7d8f407a1f6a321a7d23dea68e4e1b5
--- /dev/null
+++ b/data/tracking/prepare_sot_dataset.py
@@ -0,0 +1,680 @@
+"""
+IIB Single Object Tracking (SOT) dataset preparer.
+
+Given a benchmark JSON/JSONL file describing SOT sequences, this script
+downloads the source camera videos from the IIB Hugging Face dataset and
+reconstructs an evaluator-ready dataset:
+
+  <output_dir>/
+    <seq_id>/
+      frames/
+        f00.png        # first (initialization) frame
+        f00_ann.png    # first frame with target bounding box drawn
+        crop.png       # cropped target region from the first frame
+        f01.png ... f{N-1:02d}.png
+      sequence_meta.json
+
+Prerequisites:
+  - Python 3.8+
+  - ffmpeg on PATH
+  - huggingface_hub  (pip install huggingface_hub)
+  - A Hugging Face access token with read access to the source video dataset
+    (set via --hf-token or the HF_TOKEN environment variable)
+
+Supported input formats:
+  1. Benchmark JSON/JSONL (standard format)
+     [
+       {
+         "seq_id": "...",
+         "scene": "Warehouse_000",
+         "camera": "Camera_0010",
+         "init_frame_id": 2672,
+         "init_bbox": [...],
+         "canonical_frame_ids": [...],
+         "clip_start_frame": 2230,
+         "clip_end_frame": 3130
+       }
+     ]
+
+  2. Benchmark JSONL with canonical GT
+     {"seq_id": "...", "canonical_frame_ids": [...], "gt_bboxes": {"1": [...]}}
+
+  3. Dataset JSONL with metadata/conversations
+     {"id": "...", "metadata": {...}, "conversations": [...]}
+
+  4. Sequence-only JSON/JSONL
+     {"id": "...", "source_frame_ids": [...], "init_bbox": [...]}
+
+GT policy:
+  - Ground-truth bounding boxes are not written to the output directory.
+  - The script prepares frames and metadata only.
+  - A private GT request manifest (gt_requests.json) is written to the
+    output directory for benchmark-owner-side annotation lookup.
+
+Examples:
+  python scripts/tracking/prepare_sot_dataset.py ^
+      --benchmark sot_benchmark.jsonl ^
+      --output-dir .\\SOT_prepared_8f
+
+  python scripts/tracking/prepare_sot_dataset.py ^
+      --benchmark sot_benchmark.jsonl ^
+      --output-dir .\\SOT_prepared_32f ^
+      --nframes 32
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import shutil
+import subprocess
+import sys
+import time
+from typing import Dict, List, Optional
+
+
+DEFAULT_REPO_ID = "nvidia/PhysicalAI-SmartSpaces"  # source video dataset on Hugging Face
+DEFAULT_REPO_SUBDIR = "MTMC_Tracking_2025"
+DEFAULT_STRIDE = 15
+
+
+def find_ffmpeg() -> str:
+    for candidate in ["ffmpeg", "/usr/bin/ffmpeg", "/usr/local/bin/ffmpeg"]:
+        if shutil.which(candidate):
+            return candidate
+    for bindir in [
+        "/opt/conda/bin",
+        os.path.expanduser("~/miniconda3/bin"),
+        os.path.expanduser("~/anaconda3/bin"),
+        "/software/slurm/spackages/linux-rocky8-x86_64/gcc-9.5.0"
+        "/ffmpeg-6.0-p2yymc26idfdwvbsuijraseemhm5clvc/bin",
+    ]:
+        candidate = os.path.join(bindir, "ffmpeg")
+        if os.path.exists(candidate):
+            return candidate
+    sys.exit("ERROR: ffmpeg not found. Install it and add it to PATH.")
+
+
+def extract_frame(ffmpeg: str, video_path: str, timestamp_sec: float, out_path: str) -> None:
+    subprocess.run(
+        [
+            ffmpeg,
+            "-y",
+            "-i",
+            video_path,
+            "-ss",
+            f"{timestamp_sec:.6f}",
+            "-vframes",
+            "1",
+            "-q:v",
+            "2",
+            out_path,
+        ],
+        check=True,
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+    )
+
+
+def draw_bbox_on_frame(frame_path: str, bbox_norm: List[float], out_path: str) -> None:
+    try:
+        import cv2
+
+        img = cv2.imread(frame_path)
+        if img is None:
+            shutil.copy(frame_path, out_path)
+            return
+        h, w = img.shape[:2]
+        x1 = int(bbox_norm[0] / 1000 * w)
+        y1 = int(bbox_norm[1] / 1000 * h)
+        x2 = int(bbox_norm[2] / 1000 * w)
+        y2 = int(bbox_norm[3] / 1000 * h)
+        cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 4)
+        cv2.putText(
+            img,
+            "TARGET",
+            (x1, max(y1 - 6, 12)),
+            cv2.FONT_HERSHEY_SIMPLEX,
+            0.9,
+            (0, 255, 0),
+            2,
+        )
+        cv2.imwrite(out_path, img)
+        return
+    except ImportError:
+        pass
+
+    try:
+        from PIL import Image, ImageDraw
+
+        img = Image.open(frame_path)
+        w, h = img.size
+        draw = ImageDraw.Draw(img)
+        draw.rectangle(
+            [
+                bbox_norm[0] / 1000 * w,
+                bbox_norm[1] / 1000 * h,
+                bbox_norm[2] / 1000 * w,
+                bbox_norm[3] / 1000 * h,
+            ],
+            outline="green",
+            width=4,
+        )
+        img.save(out_path)
+        return
+    except ImportError:
+        pass
+
+    shutil.copy(frame_path, out_path)
+
+
+def crop_target(frame_path: str, bbox_norm: List[float], out_path: str) -> None:
+    try:
+        import cv2
+
+        img = cv2.imread(frame_path)
+        if img is None:
+            return
+        h, w = img.shape[:2]
+        x1 = max(0, int(bbox_norm[0] / 1000 * w))
+        y1 = max(0, int(bbox_norm[1] / 1000 * h))
+        x2 = min(w, int(bbox_norm[2] / 1000 * w))
+        y2 = min(h, int(bbox_norm[3] / 1000 * h))
+        cv2.imwrite(out_path, img[y1:y2, x1:x2])
+        return
+    except ImportError:
+        pass
+
+    try:
+        from PIL import Image
+
+        img = Image.open(frame_path)
+        w, h = img.size
+        x1 = max(0, int(bbox_norm[0] / 1000 * w))
+        y1 = max(0, int(bbox_norm[1] / 1000 * h))
+        x2 = min(w, int(bbox_norm[2] / 1000 * w))
+        y2 = min(h, int(bbox_norm[3] / 1000 * h))
+        img.crop((x1, y1, x2, y2)).save(out_path)
+    except ImportError:
+        pass
+
+
+def load_json_or_jsonl(path: str):
+    with open(path, encoding="utf-8") as f:
+        first_non_ws = ""
+        while True:
+            ch = f.read(1)
+            if not ch:
+                break
+            if not ch.isspace():
+                first_non_ws = ch
+                break
+
+    if first_non_ws in ("[", "{"):
+        try:
+            with open(path, encoding="utf-8") as f:
+                return json.load(f)
+        except json.JSONDecodeError:
+            pass
+
+    records = []
+    with open(path, encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if line:
+                records.append(json.loads(line))
+    return records
+
+
+def normalize_gt_bboxes(raw_gt: Optional[dict]) -> Dict[str, List[float]]:
+    if not raw_gt:
+        return {}
+    out = {}
+    for key, value in raw_gt.items():
+        key_str = str(key)
+        if key_str.startswith("frame_"):
+            key_str = key_str.split("_")[-1]
+        out[key_str] = value
+    return out
+
+
+def sequence_label(seq: dict) -> str:
+    return seq.get(
+        "label",
+        f"{seq['scene']}/{seq['camera']}/{seq['init_frame_id']}/obj{seq['object_id']}",
+    )
+
+
+def normalize_sequence(rec: dict) -> dict:
+    if "metadata" in rec and "id" in rec:
+        meta = rec["metadata"]
+        canonical = meta.get("source_frame_ids") or meta.get("canonical_frame_ids") or []
+        gt_bboxes = {}
+        try:
+            answer = rec["conversations"][1]["value"]
+            parsed_gt = json.loads(answer)
+            gt_bboxes = normalize_gt_bboxes(parsed_gt)
+        except (KeyError, IndexError, TypeError, json.JSONDecodeError):
+            pass
+        return {
+            "seq_id": rec["id"],
+            "scene": meta["scene"],
+            "camera": meta["camera"],
+            "object_id": str(meta.get("object_id", "")),
+            "object_type": meta.get("object_type", "object"),
+            "init_frame_id": int(canonical[0]),
+            "init_bbox": meta["init_bbox"],
+            "canonical_frame_ids": canonical,
+            "clip_start_frame": meta.get("clip_start_frame"),
+            "clip_end_frame": meta.get("clip_end_frame", canonical[-1] if canonical else None),
+            "clip_fps": float(meta.get("clip_fps", 30.0)),
+            "gt_bboxes": gt_bboxes,
+        }
+
+    canonical = rec.get("canonical_frame_ids") or rec.get("source_frame_ids") or []
+    init_frame_id = rec.get("init_frame_id", canonical[0] if canonical else None)
+    clip_end_frame = rec.get("clip_end_frame", canonical[-1] if canonical else init_frame_id)
+    clip_start_frame = rec.get("clip_start_frame")
+    if clip_start_frame is None and init_frame_id is not None:
+        clip_start_frame = init_frame_id
+
+    seq_id = rec.get("seq_id") or rec.get("id")
+    if not seq_id:
+        raise ValueError("Sequence record is missing seq_id/id")
+    if init_frame_id is None:
+        raise ValueError(f"{seq_id}: missing init_frame_id and canonical/source frame ids")
+    if "scene" not in rec or "camera" not in rec or "init_bbox" not in rec:
+        raise ValueError(f"{seq_id}: missing required scene/camera/init_bbox fields")
+
+    return {
+        "seq_id": seq_id,
+        "scene": rec["scene"],
+        "camera": rec["camera"],
+        "object_id": str(rec.get("object_id", "")),
+        "object_type": rec.get("object_type", "object"),
+        "init_frame_id": int(init_frame_id),
+        "init_bbox": rec["init_bbox"],
+        "canonical_frame_ids": canonical,
+        "clip_start_frame": int(clip_start_frame) if clip_start_frame is not None else None,
+        "clip_end_frame": int(clip_end_frame) if clip_end_frame is not None else None,
+        "clip_fps": float(rec.get("clip_fps", 30.0)),
+        "gt_bboxes": normalize_gt_bboxes(rec.get("gt_bboxes")),
+        "label": rec.get("label"),
+    }
+
+
+def load_sequences(benchmark_path: str) -> List[dict]:
+    raw = load_json_or_jsonl(benchmark_path)
+    if isinstance(raw, dict):
+        if "sequences" in raw:
+            raw = raw["sequences"]
+        else:
+            raw = [raw]
+    return [normalize_sequence(rec) for rec in raw]
+
+
+def get_split(scene: str) -> str:
+    return "val" if int(scene.split("_")[-1]) >= 15 else "train"
+
+
+def download_hf_file(repo_id: str, filename: str, hf_token: Optional[str], hf_cache_dir: Optional[str]) -> str:
+    from huggingface_hub import hf_hub_download
+
+    return hf_hub_download(
+        repo_id=repo_id,
+        repo_type="dataset",
+        filename=filename,
+        cache_dir=hf_cache_dir,
+        token=hf_token,
+    )
+
+
+def download_hf_file_with_retries(
+    repo_id: str,
+    filename: str,
+    hf_token: Optional[str],
+    hf_cache_dir: Optional[str],
+    max_attempts: int = 4,
+) -> str:
+    last_exc = None
+    for attempt in range(1, max_attempts + 1):
+        try:
+            return download_hf_file(
+                repo_id=repo_id,
+                filename=filename,
+                hf_token=hf_token,
+                hf_cache_dir=hf_cache_dir,
+            )
+        except Exception as exc:
+            last_exc = exc
+            if attempt == max_attempts:
+                break
+            wait_sec = attempt * 2
+            print(f"        retry {attempt}/{max_attempts - 1} after error: {exc}")
+            time.sleep(wait_sec)
+    raise last_exc
+
+
+def choose_stride(
+    n_frames: int,
+    init_frame_id: int,
+    clip_end_frame: Optional[int],
+    user_stride: Optional[int],
+) -> int:
+    if user_stride is not None:
+        return user_stride
+    if n_frames <= 1:
+        return DEFAULT_STRIDE
+    if clip_end_frame is None:
+        return DEFAULT_STRIDE
+    frames_available = max(0, clip_end_frame - init_frame_id)
+    max_stride = frames_available // max(1, n_frames - 1)
+    return min(DEFAULT_STRIDE, max(1, max_stride))
+
+
+def existing_frame_count(frames_dir: str) -> int:
+    if not os.path.isdir(frames_dir):
+        return 0
+    return len(
+        [
+            name
+            for name in os.listdir(frames_dir)
+            if name.startswith("f") and name.endswith(".png") and "_ann" not in name
+        ]
+    )
+
+
+def write_gt_requests(
+    gt_requests_path: str,
+    benchmark_path: str,
+    repo_id: str,
+    repo_subdir: str,
+    nframes: int,
+    stride: Optional[int],
+    requests: List[dict],
+) -> None:
+    payload = {
+        "benchmark": os.path.abspath(benchmark_path),
+        "repo_id": repo_id,
+        "repo_subdir": repo_subdir,
+        "nframes": nframes,
+        "stride": stride,
+        "requests": requests,
+    }
+    with open(gt_requests_path, "w", encoding="utf-8") as f:
+        json.dump(payload, f, indent=2)
+
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        description="Prepare the IIB SOT dataset from a benchmark JSON/JSONL and source camera videos."
+    )
+    parser.add_argument(
+        "--benchmark",
+        required=True,
+        help="Input benchmark JSON or JSONL with sequence metadata.",
+    )
+    parser.add_argument(
+        "--output-dir",
+        required=True,
+        help="Output prepared_data_dir for the evaluator.",
+    )
+    parser.add_argument(
+        "--nframes",
+        type=int,
+        default=8,
+        help="Frames to extract per sequence. Default: 8.",
+    )
+    parser.add_argument(
+        "--stride",
+        type=int,
+        default=None,
+        help="Source-video frame stride. Default: auto.",
+    )
+    parser.add_argument(
+        "--hf-token",
+        default=None,
+        help="Hugging Face token. Falls back to HF_TOKEN env var.",
+    )
+    parser.add_argument(
+        "--hf-cache-dir",
+        default=None,
+        help="Optional cache directory for Hugging Face downloads.",
+    )
+    parser.add_argument(
+        "--repo-id",
+        default=DEFAULT_REPO_ID,
+        help=f"Hugging Face dataset repo id. Default: {DEFAULT_REPO_ID}.",
+    )
+    parser.add_argument(
+        "--repo-subdir",
+        default=DEFAULT_REPO_SUBDIR,
+        help=f"Dataset subdirectory inside the repo. Default: {DEFAULT_REPO_SUBDIR}.",
+    )
+    parser.add_argument(
+        "--sequences",
+        nargs="*",
+        default=None,
+        help="Optional subset of seq_ids to prepare.",
+    )
+    return parser.parse_args()
+
+
+def main() -> None:
+    args = parse_args()
+    hf_token = args.hf_token or os.environ.get("HF_TOKEN")
+    ffmpeg = find_ffmpeg()
+
+    if not os.path.exists(args.benchmark):
+        sys.exit(f"ERROR: benchmark file not found: {args.benchmark}")
+
+    try:
+        sequences = load_sequences(args.benchmark)
+    except Exception as exc:
+        sys.exit(f"ERROR: failed to parse benchmark inputs: {exc}")
+
+    if args.sequences:
+        keep = set(args.sequences)
+        sequences = [seq for seq in sequences if seq["seq_id"] in keep]
+
+    os.makedirs(args.output_dir, exist_ok=True)
+    gt_requests_path = os.path.join(args.output_dir, "gt_requests.json")
+
+    print(f"ffmpeg:     {ffmpeg}")
+    print(f"benchmark:  {args.benchmark}")
+    print(f"repo:       {args.repo_id}")
+    print(f"subdir:     {args.repo_subdir}")
+    print(f"nframes:    {args.nframes}")
+    print(f"stride:     {'auto' if args.stride is None else args.stride}")
+    print(f"sequences:  {len(sequences)}")
+
+    video_groups: Dict[tuple, List[dict]] = {}
+    for seq in sequences:
+        key = (get_split(seq["scene"]), seq["scene"], seq["camera"])
+        video_groups.setdefault(key, []).append(seq)
+
+    print(f"videos:     {len(video_groups)} unique source camera files\n")
+
+    done = 0
+    skipped = 0
+    errors = 0
+    video_cache: Dict[tuple, str] = {}
+    gt_requests: List[dict] = []
+    write_gt_requests(
+        gt_requests_path=gt_requests_path,
+        benchmark_path=args.benchmark,
+        repo_id=args.repo_id,
+        repo_subdir=args.repo_subdir,
+        nframes=args.nframes,
+        stride=args.stride,
+        requests=gt_requests,
+    )
+
+    for (split, scene, camera), seqs in sorted(video_groups.items()):
+        video_key = (split, scene, camera)
+        if video_key not in video_cache:
+            rel_path = f"{args.repo_subdir}/{split}/{scene}/videos/{camera}.mp4"
+            print(f"[VIDEO] {rel_path}  ({len(seqs)} sequence{'s' if len(seqs) != 1 else ''})")
+            try:
+                video_cache[video_key] = download_hf_file_with_retries(
+                    repo_id=args.repo_id,
+                    filename=rel_path,
+                    hf_token=hf_token,
+                    hf_cache_dir=args.hf_cache_dir,
+                )
+                print(f"        -> {video_cache[video_key]}")
+            except Exception as exc:
+                print(f"  [DOWNLOAD ERROR] {exc}")
+                errors += len(seqs)
+                continue
+
+        video_path = video_cache[video_key]
+
+        for seq in seqs:
+            seq_id = seq["seq_id"]
+            seq_out = os.path.join(args.output_dir, seq_id)
+            frames_out = os.path.join(seq_out, "frames")
+
+            if existing_frame_count(frames_out) >= args.nframes:
+                skipped += 1
+                continue
+
+            os.makedirs(frames_out, exist_ok=True)
+
+            canonical = seq.get("canonical_frame_ids") or []
+            if canonical and args.stride is None and len(canonical) >= args.nframes:
+                frame_ids = canonical[: args.nframes]
+                stride = (
+                    canonical[1] - canonical[0]
+                    if len(canonical) > 1
+                    else DEFAULT_STRIDE
+                )
+            else:
+                stride = choose_stride(
+                    n_frames=args.nframes,
+                    init_frame_id=seq["init_frame_id"],
+                    clip_end_frame=seq.get("clip_end_frame"),
+                    user_stride=args.stride,
+                )
+                frame_ids = [
+                    seq["init_frame_id"] + idx * stride for idx in range(args.nframes)
+                ]
+
+            gt_request_frames = [
+                {
+                    "frame_index": frame_idx,
+                    "source_frame_id": source_frame_id,
+                }
+                for frame_idx, source_frame_id in enumerate(frame_ids)
+            ]
+            gt_request_entry = {
+                "seq_id": seq_id,
+                "scene": seq["scene"],
+                "camera": seq["camera"],
+                "object_id": seq["object_id"],
+                "object_type": seq["object_type"],
+                "label": sequence_label(seq),
+                "requested_nframes": len(frame_ids),
+                "requested_stride": stride,
+                "frame_requests": gt_request_frames,
+                "status": "pending_preparation",
+            }
+            gt_requests.append(gt_request_entry)
+            write_gt_requests(
+                gt_requests_path=gt_requests_path,
+                benchmark_path=args.benchmark,
+                repo_id=args.repo_id,
+                repo_subdir=args.repo_subdir,
+                nframes=args.nframes,
+                stride=args.stride,
+                requests=gt_requests,
+            )
+
+            try:
+                for frame_idx, source_frame_id in enumerate(frame_ids):
+                    timestamp_sec = source_frame_id / seq["clip_fps"]
+                    frame_path = os.path.join(frames_out, f"f{frame_idx:02d}.png")
+                    extract_frame(ffmpeg, video_path, timestamp_sec, frame_path)
+
+                    if frame_idx == 0:
+                        draw_bbox_on_frame(
+                            frame_path,
+                            seq["init_bbox"],
+                            os.path.join(frames_out, "f00_ann.png"),
+                        )
+                        crop_target(
+                            frame_path,
+                            seq["init_bbox"],
+                            os.path.join(frames_out, "crop.png"),
+                        )
+
+                sequence_meta = {
+                    "frame_ids": frame_ids,
+                    "init_bbox": seq["init_bbox"],
+                    "label": sequence_label(seq),
+                    "scene": seq["scene"],
+                    "camera": seq["camera"],
+                    "object_id": seq["object_id"],
+                    "object_type": seq["object_type"],
+                    "stride": stride,
+                    "nframes": len(frame_ids),
+                    "clip_fps": seq["clip_fps"],
+                    "gt_available": False,
+                    "gt_source": "private_benchmark_owner_only",
+                }
+                with open(os.path.join(seq_out, "sequence_meta.json"), "w", encoding="utf-8") as f:
+                    json.dump(sequence_meta, f, indent=2)
+
+                gt_request_entry["status"] = "prepared"
+                write_gt_requests(
+                    gt_requests_path=gt_requests_path,
+                    benchmark_path=args.benchmark,
+                    repo_id=args.repo_id,
+                    repo_subdir=args.repo_subdir,
+                    nframes=args.nframes,
+                    stride=args.stride,
+                    requests=gt_requests,
+                )
+
+                print(
+                    f"  [{done + 1:>3}] {seq_id}  stride={stride}  "
+                    f"gt=private"
+                )
+                done += 1
+            except Exception as exc:
+                gt_request_entry["status"] = "preparation_failed"
+                gt_request_entry["error"] = str(exc)
+                write_gt_requests(
+                    gt_requests_path=gt_requests_path,
+                    benchmark_path=args.benchmark,
+                    repo_id=args.repo_id,
+                    repo_subdir=args.repo_subdir,
+                    nframes=args.nframes,
+                    stride=args.stride,
+                    requests=gt_requests,
+                )
+                print(f"  [ERROR] {seq_id}: {exc}")
+                errors += 1
+
+    write_gt_requests(
+        gt_requests_path=gt_requests_path,
+        benchmark_path=args.benchmark,
+        repo_id=args.repo_id,
+        repo_subdir=args.repo_subdir,
+        nframes=args.nframes,
+        stride=args.stride,
+        requests=gt_requests,
+    )
+
+    print(f"\n{'=' * 60}")
+    print(f"Done:    {done} prepared")
+    print(f"Skipped: {skipped} already complete")
+    print(f"Errors:  {errors}")
+    print(f"Output:  {args.output_dir}")
+    print(f"GT reqs:  {gt_requests_path}")
+    print(f'\nSet "prepared_data_dir": "{args.output_dir}" in your config JSON.')
+
+
+if __name__ == "__main__":
+    main()
diff --git a/data/tracking/sot_benchmark.jsonl b/data/tracking/sot_benchmark.jsonl
new file mode 100644
index 0000000000000000000000000000000000000000..c1f9e5a40be5a4f6b37750c67f62dcfc22aa7545
--- /dev/null
+++ b/data/tracking/sot_benchmark.jsonl
@@ -0,0 +1,200 @@
+{"seq_id": "Warehouse_016__Camera_11__5600__obj353", "scene": "Warehouse_016", "camera": "Camera_11", "object_id": "353", "object_type": "Robot", "init_bbox": [799.0, 601.9, 918.8, 956.5], "init_frame_id": 5600, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5600, 5615, 5630, 5645, 5660, 5675, 5690, 5705]}
+{"seq_id": "Warehouse_016__Camera_05__704__obj352", "scene": "Warehouse_016", "camera": "Camera_05", "object_id": "352", "object_type": "Robot", "init_bbox": [819.8, 675.9, 894.8, 958.3], "init_frame_id": 704, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [704, 719, 734, 749, 764, 779, 794, 809]}
+{"seq_id": "Warehouse_016__Camera_11__5040__obj353", "scene": "Warehouse_016", "camera": "Camera_11", "object_id": "353", "object_type": "Robot", "init_bbox": [284.4, 559.3, 375.0, 961.1], "init_frame_id": 5040, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5040, 5055, 5070, 5085, 5100, 5115, 5130, 5145]}
+{"seq_id": "Warehouse_016__Camera_05__1968__obj353", "scene": "Warehouse_016", "camera": "Camera_05", "object_id": "353", "object_type": "Robot", "init_bbox": [865.6, 683.3, 948.4, 963.0], "init_frame_id": 1968, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1968, 1983, 1998, 2013, 2028, 2043, 2058, 2073]}
+{"seq_id": "Warehouse_014__Camera_01__4192__obj528", "scene": "Warehouse_014", "camera": "Camera_01", "object_id": "528", "object_type": "Robot", "init_bbox": [810.9, 736.1, 931.8, 969.4], "init_frame_id": 4192, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [4192, 4207, 4222, 4237, 4252, 4267, 4282, 4297]}
+{"seq_id": "Warehouse_014__Camera_01__7792__obj528", "scene": "Warehouse_014", "camera": "Camera_01", "object_id": "528", "object_type": "Robot", "init_bbox": [809.9, 731.5, 930.2, 963.9], "init_frame_id": 7792, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [7792, 7807, 7822, 7837, 7852, 7867, 7882, 7897]}
+{"seq_id": "Warehouse_016__Camera_06__8509__obj627", "scene": "Warehouse_016", "camera": "Camera_06", "object_id": "627", "object_type": "Robot", "init_bbox": [210.4, 632.4, 287.5, 941.7], "init_frame_id": 8509, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [8509, 8524, 8539, 8554, 8569, 8584, 8599, 8614]}
+{"seq_id": "Warehouse_016__Camera_02__4416__obj354", "scene": "Warehouse_016", "camera": "Camera_02", "object_id": "354", "object_type": "Robot", "init_bbox": [75.0, 723.1, 175.5, 874.1], "init_frame_id": 4416, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [4416, 4431, 4446, 4461, 4476, 4491, 4506, 4521]}
+{"seq_id": "Warehouse_016__Camera__2976__obj352", "scene": "Warehouse_016", "camera": "Camera", "object_id": "352", "object_type": "Robot", "init_bbox": [30.2, 679.6, 146.9, 850.0], "init_frame_id": 2976, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [2976, 2991, 3006, 3021, 3036, 3051, 3066, 3081]}
+{"seq_id": "Warehouse_016__Camera_03__2608__obj352", "scene": "Warehouse_016", "camera": "Camera_03", "object_id": "352", "object_type": "Robot", "init_bbox": [248.4, 397.2, 315.1, 688.9], "init_frame_id": 2608, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [2608, 2623, 2638, 2653, 2668, 2683, 2698, 2713]}
+{"seq_id": "Warehouse_016__Camera_03__544__obj352", "scene": "Warehouse_016", "camera": "Camera_03", "object_id": "352", "object_type": "Robot", "init_bbox": [774.5, 384.3, 853.1, 653.7], "init_frame_id": 544, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [544, 559, 574, 589, 604, 619, 634, 649]}
+{"seq_id": "Warehouse_016__Camera_11__6688__obj353", "scene": "Warehouse_016", "camera": "Camera_11", "object_id": "353", "object_type": "Robot", "init_bbox": [625.5, 587.0, 732.3, 955.6], "init_frame_id": 6688, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [6688, 6703, 6718, 6733, 6748, 6763, 6778, 6793]}
+{"seq_id": "Warehouse_016__Camera_03__1728__obj352", "scene": "Warehouse_016", "camera": "Camera_03", "object_id": "352", "object_type": "Robot", "init_bbox": [302.1, 466.7, 372.9, 760.2], "init_frame_id": 1728, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1728, 1743, 1758, 1773, 1788, 1803, 1818, 1833]}
+{"seq_id": "Warehouse_016__Camera_07__4352__obj353", "scene": "Warehouse_016", "camera": "Camera_07", "object_id": "353", "object_type": "Robot", "init_bbox": [318.2, 546.3, 389.1, 825.0], "init_frame_id": 4352, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [4352, 4367, 4382, 4397, 4412, 4427, 4442, 4457]}
+{"seq_id": "Warehouse_016__Camera__7792__obj627", "scene": "Warehouse_016", "camera": "Camera", "object_id": "627", "object_type": "Robot", "init_bbox": [125.5, 456.5, 217.2, 617.6], "init_frame_id": 7792, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [7792, 7807, 7822, 7837, 7852, 7867, 7882, 7897]}
+{"seq_id": "Warehouse_016__Camera_08__1760__obj352", "scene": "Warehouse_016", "camera": "Camera_08", "object_id": "352", "object_type": "Robot", "init_bbox": [751.0, 590.7, 842.7, 911.1], "init_frame_id": 1760, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1760, 1775, 1790, 1805, 1820, 1835, 1850, 1865]}
+{"seq_id": "Warehouse_016__Camera_04__2640__obj352", "scene": "Warehouse_016", "camera": "Camera_04", "object_id": "352", "object_type": "Robot", "init_bbox": [43.8, 682.4, 120.3, 935.2], "init_frame_id": 2640, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [2640, 2655, 2670, 2685, 2700, 2715, 2730, 2745]}
+{"seq_id": "Warehouse_005__Camera_0016__400__obj31", "scene": "Warehouse_005", "camera": "Camera_0016", "object_id": "31", "object_type": "Robot", "init_bbox": [102.1, 782.4, 346.9, 958.3], "init_frame_id": 400, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [400, 415, 430, 445, 460, 475, 490, 505]}
+{"seq_id": "Warehouse_000__Camera_0015__944__obj27", "scene": "Warehouse_000", "camera": "Camera_0015", "object_id": "27", "object_type": "Robot", "init_bbox": [215.6, 707.4, 357.3, 867.6], "init_frame_id": 944, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [944, 959, 974, 989, 1004, 1019, 1034, 1049]}
+{"seq_id": "Warehouse_016__Camera_07__6400__obj353", "scene": "Warehouse_016", "camera": "Camera_07", "object_id": "353", "object_type": "Robot", "init_bbox": [300.0, 400.0, 349.0, 614.8], "init_frame_id": 6400, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [6400, 6415, 6430, 6445, 6460, 6475, 6490, 6505]}
+{"seq_id": "Warehouse_005__Camera_0000__3408__obj31", "scene": "Warehouse_005", "camera": "Camera_0000", "object_id": "31", "object_type": "Robot", "init_bbox": [41.1, 669.4, 286.5, 838.9], "init_frame_id": 3408, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [3408, 3423, 3438, 3453, 3468, 3483, 3498, 3513]}
+{"seq_id": "Warehouse_012__Camera_08__1776__obj313", "scene": "Warehouse_012", "camera": "Camera_08", "object_id": "313", "object_type": "Robot", "init_bbox": [283.3, 825.0, 378.1, 967.6], "init_frame_id": 1776, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1776, 1791, 1806, 1821, 1836, 1851, 1866, 1881]}
+{"seq_id": "Warehouse_016__Camera_05__1744__obj352", "scene": "Warehouse_016", "camera": "Camera_05", "object_id": "352", "object_type": "Robot", "init_bbox": [389.1, 605.6, 464.6, 875.0], "init_frame_id": 1744, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1744, 1759, 1774, 1789, 1804, 1819, 1834, 1849]}
+{"seq_id": "Warehouse_016__Camera_04__7760__obj627", "scene": "Warehouse_016", "camera": "Camera_04", "object_id": "627", "object_type": "Robot", "init_bbox": [67.2, 425.0, 122.9, 633.3], "init_frame_id": 7760, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [7760, 7775, 7790, 7805, 7820, 7835, 7850, 7865]}
+{"seq_id": "Warehouse_016__Camera_03__5616__obj353", "scene": "Warehouse_016", "camera": "Camera_03", "object_id": "353", "object_type": "Robot", "init_bbox": [166.7, 137.0, 226.6, 369.4], "init_frame_id": 5616, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5616, 5631, 5646, 5661, 5676, 5691, 5706, 5721]}
+{"seq_id": "Warehouse_000__Camera_0016__1152__obj22", "scene": "Warehouse_000", "camera": "Camera_0016", "object_id": "22", "object_type": "Robot", "init_bbox": [308.9, 722.2, 522.9, 951.9], "init_frame_id": 1152, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1152, 1167, 1182, 1197, 1212, 1227, 1242, 1257]}
+{"seq_id": "Warehouse_016__Camera_08__592__obj353", "scene": "Warehouse_016", "camera": "Camera_08", "object_id": "353", "object_type": "Robot", "init_bbox": [741.1, 379.6, 814.6, 650.0], "init_frame_id": 592, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [592, 607, 622, 637, 652, 667, 682, 697]}
+{"seq_id": "Warehouse_016__Camera_09__5008__obj353", "scene": "Warehouse_016", "camera": "Camera_09", "object_id": "353", "object_type": "Robot", "init_bbox": [803.6, 93.5, 838.5, 189.8], "init_frame_id": 5008, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5008, 5023, 5038, 5053, 5068, 5083, 5098, 5113]}
+{"seq_id": "Warehouse_000__Camera_0016__1680__obj22", "scene": "Warehouse_000", "camera": "Camera_0016", "object_id": "22", "object_type": "Robot", "init_bbox": [281.8, 582.4, 449.0, 651.9], "init_frame_id": 1680, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [1680, 1695, 1710, 1725, 1740, 1755, 1770, 1785]}
+{"seq_id": "Warehouse_014__Camera__48__obj466", "scene": "Warehouse_014", "camera": "Camera", "object_id": "466", "object_type": "Robot", "init_bbox": [793.8, 597.2, 890.1, 786.1], "init_frame_id": 48, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [48, 63, 78, 93, 108, 123, 138, 153]}
+{"seq_id": "Warehouse_014__Camera_02__480__obj416", "scene": "Warehouse_014", "camera": "Camera_02", "object_id": "416", "object_type": "Robot", "init_bbox": [801.0, 396.3, 866.1, 480.6], "init_frame_id": 480, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [480, 495, 510, 525, 540, 555, 570, 585]}
+{"seq_id": "Warehouse_014__Camera__5712__obj466", "scene": "Warehouse_014", "camera": "Camera", "object_id": "466", "object_type": "Robot", "init_bbox": [779.2, 547.2, 861.5, 735.2], "init_frame_id": 5712, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5712, 5727, 5742, 5757, 5772, 5787, 5802, 5817]}
+{"seq_id": "Warehouse_015__Camera_10__3040__obj7", "scene": "Warehouse_015", "camera": "Camera_10", "object_id": "7", "object_type": "Robot", "init_bbox": [186.5, 648.1, 366.1, 794.4], "init_frame_id": 3040, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [3040, 3055, 3070, 3085, 3100, 3115, 3130, 3145]}
+{"seq_id": "Warehouse_013__Camera_06__8200__obj349", "scene": "Warehouse_013", "camera": "Camera_06", "object_id": "349", "object_type": "Robot", "init_bbox": [287.5, 748.1, 364.6, 887.0], "init_frame_id": 8200, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [8200, 8215, 8230, 8245, 8260, 8275, 8290, 8305]}
+{"seq_id": "Warehouse_014__Camera__3776__obj466", "scene": "Warehouse_014", "camera": "Camera", "object_id": "466", "object_type": "Robot", "init_bbox": [780.7, 600.9, 887.0, 764.8], "init_frame_id": 3776, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [3776, 3791, 3806, 3821, 3836, 3851, 3866, 3881]}
+{"seq_id": "Warehouse_014__Camera_03__5120__obj246", "scene": "Warehouse_014", "camera": "Camera_03", "object_id": "246", "object_type": "Robot", "init_bbox": [446.4, 195.4, 503.6, 449.1], "init_frame_id": 5120, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5120, 5135, 5150, 5165, 5180, 5195, 5210, 5225]}
+{"seq_id": "Warehouse_014__Camera__5664__obj466", "scene": "Warehouse_014", "camera": "Camera", "object_id": "466", "object_type": "Robot", "init_bbox": [784.4, 593.5, 883.3, 767.6], "init_frame_id": 5664, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5664, 5679, 5694, 5709, 5724, 5739, 5754, 5769]}
+{"seq_id": "Warehouse_016__Camera_08__4146__obj353", "scene": "Warehouse_016", "camera": "Camera_08", "object_id": "353", "object_type": "Robot", "init_bbox": [704.2, 337.0, 779.2, 589.8], "init_frame_id": 4146, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [4146, 4161, 4176, 4191, 4206, 4221, 4236, 4251]}
+{"seq_id": "Warehouse_005__Camera_0016__4832__obj31", "scene": "Warehouse_005", "camera": "Camera_0016", "object_id": "31", "object_type": "Robot", "init_bbox": [369.8, 529.6, 527.1, 619.4], "init_frame_id": 4832, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [4832, 4847, 4862, 4877, 4892, 4907, 4922, 4937]}
+{"seq_id": "Warehouse_014__Camera__7536__obj466", "scene": "Warehouse_014", "camera": "Camera", "object_id": "466", "object_type": "Robot", "init_bbox": [781.8, 599.1, 889.6, 755.6], "init_frame_id": 7536, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [7536, 7551, 7566, 7581, 7596, 7611, 7626, 7641]}
+{"seq_id": "Warehouse_014__Camera_03__6832__obj246", "scene": "Warehouse_014", "camera": "Camera_03", "object_id": "246", "object_type": "Robot", "init_bbox": [445.8, 193.5, 503.6, 450.0], "init_frame_id": 6832, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [6832, 6847, 6862, 6877, 6892, 6907, 6922, 6937]}
+{"seq_id": "Warehouse_016__Camera_08__320__obj354", "scene": "Warehouse_016", "camera": "Camera_08", "object_id": "354", "object_type": "Robot", "init_bbox": [906.8, 216.7, 965.6, 448.1], "init_frame_id": 320, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [320, 335, 350, 365, 380, 395, 410, 425]}
+{"seq_id": "Warehouse_002__Camera_0028__3808__obj48", "scene": "Warehouse_002", "camera": "Camera_0028", "object_id": "48", "object_type": "Robot", "init_bbox": [289.1, 625.0, 422.9, 688.0], "init_frame_id": 3808, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [3808, 3823, 3838, 3853, 3868, 3883, 3898, 3913]}
+{"seq_id": "Warehouse_004__Camera_0008__5392__obj1", "scene": "Warehouse_004", "camera": "Camera_0008", "object_id": "1", "object_type": "Robot", "init_bbox": [388.0, 515.7, 516.1, 584.3], "init_frame_id": 5392, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [5392, 5407, 5422, 5437, 5452, 5467, 5482, 5497]}
+{"seq_id": "Warehouse_013__Camera_08__288__obj0", "scene": "Warehouse_013", "camera": "Camera_08", "object_id": "0", "object_type": "Robot", "init_bbox": [684.4, 714.8, 762.0, 838.9], "init_frame_id": 288, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [288, 303, 318, 333, 348, 363, 378, 393]}
+{"seq_id": "Warehouse_012__Camera_06__8496__obj449", "scene": "Warehouse_012", "camera": "Camera_06", "object_id": "449", "object_type": "Robot", "init_bbox": [327.1, 798.1, 377.6, 946.3], "init_frame_id": 8496, "clip_fps": 30.0, "img_width": 1920, "img_height": 1080, "canonical_frame_ids": [8496, 8511, 8526, 8541, 8556, 8571, 8586, 8601]}
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