Datasets:

Francesco
/

soccer-players-5fuqs

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110	640	640	{ "id": [ 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358 ], "area": [ 2256, 2987, 1746, 1008, 1050, 1848, 1260, 1732, 1228, 260 ], "bbox": [ [ 249, 380, 25.5, 88.5 ], [ 357, ...
47	640	640	{ "id": [ 586, 587, 588, 589, 590, 591 ], "area": [ 3141, 2407, 2440, 1541, 3978, 4153 ], "bbox": [ [ 455, 209, 35.5, 88.5 ], [ 187, 143, 29, 83 ], [ 24, 183, 30.5, 80 ...
75	640	640	{ "id": [ 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929 ], "area": [ 3893, 1617, 2433, 1676, 1716, 2180, 1920, 1564, 1564, 1111, 700, 1197, 1617, 1277, 2699,...
62	640	640	{ "id": [ 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782 ], "area": [ 1530, 1608, 1899, 1746, 1417, 1795, 1992, 1473, 2790, 728, 1572, 2320, 1848, 2256, ...
22	640	640	{ "id": [ 257, 258, 259, 260, 261, 262, 263, 264 ], "area": [ 1676, 1323, 1501, 2822, 1923, 1277, 901, 195 ], "bbox": [ [ 614, 108, 22.5, 74.5 ], [ 270, 69, 21, 63 ], [ 195...
91	640	640	{ "id": [ 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126 ], "area": [ 4731, 2781, 2522, 4815, 2375, 2887, 2993, 2208, 2296, 2640, 319 ], "bbox": [ [ 596, 235, 41.5, 114 ], ...
10	640	640	{ "id": [ 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138 ], "area": [ 3550, 1680, 2073, 1438, 1394, 1848, 2058, 1800, 2958, 2040, 2124, 1716, 1251, 1644, 2407...
83	640	640	{ "id": [ 1016, 1017, 1018, 1019, 1020, 1021, 1022 ], "area": [ 1335, 1228, 1146, 968, 2160, 1823, 369 ], "bbox": [ [ 550, 166, 19.5, 68.5 ], [ 222, 117, 19.5, 63 ], [ 175, 1...
89	640	640	{ "id": [ 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101 ], "area": [ 1746, 1417, 1608, 1899, 1991, 1146, 2348, 2348, 1501, 1473, 2653, 1560, 299 ], "bbox": [ [ 52, ...
59	640	640	{ "id": [ 727, 728, 729, 730, 731 ], "area": [ 1375, 1417, 1452, 2196, 2116 ], "bbox": [ [ 196, 303, 21, 65.5 ], [ 209, 314, 22.5, 63 ], [ 236, 308, 19.5, 74.5 ], [ ...
57	640	640	{ "id": [ 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712 ], "area": [ 3038, 2244, 2180, 2726, 1491, 1303, 1088, 442, 1120, 1225, 1585, 2028, 1254, ...
44	640	640	{ "id": [ 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557 ], "area": [ 2256, 2409, 2328, 1743, 1800, 1251, 1676, 1800, 1102, 1323, 1438, 1260, ...
96	640	640	{ "id": [ 1180, 1181, 1182, 1183 ], "area": [ 1795, 2040, 2058, 290 ], "bbox": [ [ 89, 77, 21, 85.5 ], [ 360, 340, 25.5, 80 ], [ 143, 366, 22.5, 91.5 ], [ 169, 455, ...
16	640	640	{ "id": [ 205, 206, 207, 208, 209, 210, 211, 212 ], "area": [ 1883, 2180, 2473, 1417, 1048, 1232, 1572, 195 ], "bbox": [ [ 75, 209, 27.5, 68.5 ], [ 319, 403, 25.5, 85.5 ], [ ...
104	640	640	{ "id": [ 1282, 1283, 1284, 1285, 1286, 1287, 1288 ], "area": [ 1564, 1277, 1473, 1963, 1848, 1608, 221 ], "bbox": [ [ 590, 143, 21, 74.5 ], [ 256, 94, 19.5, 65.5 ], [ 196, 1...

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Dataset Card for soccer-players-5fuqs

** The original COCO dataset is stored at dataset.tar.gz**

Dataset Summary

soccer-players-5fuqs

Supported Tasks and Leaderboards

object-detection: The dataset can be used to train a model for Object Detection.

Languages

English

Dataset Structure

Data Instances

A data point comprises an image and its object annotations.

{
  'image_id': 15,
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x640 at 0x2373B065C18>,
  'width': 964043,
  'height': 640,
  'objects': {
    'id': [114, 115, 116, 117], 
    'area': [3796, 1596, 152768, 81002],
    'bbox': [
      [302.0, 109.0, 73.0, 52.0],
      [810.0, 100.0, 57.0, 28.0],
      [160.0, 31.0, 248.0, 616.0],
      [741.0, 68.0, 202.0, 401.0]
    ], 
    'category': [4, 4, 0, 0]
  }
}

Data Fields

image: the image id
image: PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0]
width: the image width
height: the image height
objects: a dictionary containing bounding box metadata for the objects present on the image
- id: the annotation id
- area: the area of the bounding box
- bbox: the object's bounding box (in the coco format)
- category: the object's category.

Who are the annotators?

Annotators are Roboflow users

Additional Information

Licensing Information

See original homepage https://universe.roboflow.com/object-detection/soccer-players-5fuqs

Citation Information

@misc{ soccer-players-5fuqs,
    title = { soccer players 5fuqs Dataset },
    type = { Open Source Dataset },
    author = { Roboflow 100 },
    howpublished = { \url{ https://universe.roboflow.com/object-detection/soccer-players-5fuqs } },
    url = { https://universe.roboflow.com/object-detection/soccer-players-5fuqs },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-03-29 },
}"

Contributions

Thanks to @mariosasko for adding this dataset.

Downloads last month: 10

Homepage:

universe.roboflow.com

Point of Contact:

francesco.zuppichini@gmail.com