Add files using upload-large-folder tool

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_103.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_106.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_11.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_126.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_13.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_133.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_150.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_156.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_157.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_17.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_174.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_175.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_182.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_184.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_187.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_195.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_196.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_2.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_206.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_211.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_213.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_240.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_264.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_270.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_279.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_280.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_292.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_306.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_314.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_318.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_319.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_323.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_325.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_326.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_335.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_336.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_338.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_349.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_354.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_358.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_363.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_364.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_373.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_376.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_379.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_383.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_386.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_390.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_393.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]

grounding/object_grounding/question/multi_scene_ocr_document_text_HandWriting_92/HandWriting_Row_396.txt

@@ -0,0 +1,7 @@
+Detect all objects matching these categories in this document image: CITY, DATE, STATE, ZIP.
+
+For each detected object, provide:
+1. bbox_2d: bounding box coordinates [x1, y1, x2, y2] in 0-1000 relative format
+2. label: one of (CITY, DATE, STATE, ZIP)
+
+Return ONLY a JSON array in this format: [{"bbox_2d": [x1, y1, x2, y2], "label": "category_name"}]