Dataset Viewer
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int64
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340
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int32
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int32
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1.09k
objects
dict
detections
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{ "id": [ 52 ], "area": [ 226008 ], "bbox": [ [ 369, 271, 516, 438 ] ], "category": [ 4 ] }
[ { "bbox": [ 333, 533, 673, 997 ], "label": "Mask", "sub_label": "blue and black" } ]
```json [ {"bbox_2d": [333, 533, 673, 997], "label": "Mask", "sub_label": "blue and black"} ] ```
{"model_id": "Qwen/Qwen3-VL-8B-Instruct", "prompt": "Detect every piece of medical personal protective equipment (PPE) visible in this image. For each, return a JSON object with \"bbox_2d\": [x1, y1, x2, y2] (coordinates normalised to 0-1000), \"label\" (exactly one of: Coverall, Face_Shield, Gloves, Goggles, Mask), an...
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{ "id": [ 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132 ], "area": [ 888, 1248, 1564, 63552, 777, 858, 16800, 2340, 840, 1102, 2318, 71940 ], "bbox": [ [ 117, 49, 37, 24 ...
[ { "bbox": [ 100, 10, 500, 999 ], "label": "Coverall", "sub_label": "yellow" }, { "bbox": [ 500, 100, 700, 999 ], "label": "Coverall", "sub_label": "yellow" }, { "bbox": [ 650, 100, 900, 999 ], ...
```json [ {"bbox_2d": [100, 10, 500, 999], "label": "Coverall", "sub_label": "yellow"}, {"bbox_2d": [500, 100, 700, 999], "label": "Coverall", "sub_label": "yellow"}, {"bbox_2d": [650, 100, 900, 999], "label": "Coverall", "sub_label": "white"}, {"bbox_2d": [200, 100, 300, 200], "label": "Face_Shield", "...
{"model_id": "Qwen/Qwen3-VL-8B-Instruct", "prompt": "Detect every piece of medical personal protective equipment (PPE) visible in this image. For each, return a JSON object with \"bbox_2d\": [x1, y1, x2, y2] (coordinates normalised to 0-1000), \"label\" (exactly one of: Coverall, Face_Shield, Gloves, Goggles, Mask), an...
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{ "id": [ 27, 28 ], "area": [ 51088, 13542 ], "bbox": [ [ 141, 134, 248, 206 ], [ 501, 367, 122, 111 ] ], "category": [ 2, 2 ] }
[ { "bbox": [ 187, 433, 357, 625 ], "label": "Gloves", "sub_label": "blue" }, { "bbox": [ 477, 700, 600, 880 ], "label": "Gloves", "sub_label": "blue" } ]
```json [ {"bbox_2d": [187, 433, 357, 625], "label": "Gloves", "sub_label": "blue"}, {"bbox_2d": [477, 700, 600, 880], "label": "Gloves", "sub_label": "blue"} ] ```
{"model_id": "Qwen/Qwen3-VL-8B-Instruct", "prompt": "Detect every piece of medical personal protective equipment (PPE) visible in this image. For each, return a JSON object with \"bbox_2d\": [x1, y1, x2, y2] (coordinates normalised to 0-1000), \"label\" (exactly one of: Coverall, Face_Shield, Gloves, Goggles, Mask), an...
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{ "id": [ 186, 187, 188, 189, 190, 191 ], "area": [ 1222, 1764, 7104, 2668, 1836, 97000 ], "bbox": [ [ 152, 114, 47, 26 ], [ 147, 137, 42, 42 ], [ 133, 98, 74, 96 ], ...
[ { "bbox": [ 270, 300, 730, 967 ], "label": "Coverall", "sub_label": "white" }, { "bbox": [ 420, 300, 580, 440 ], "label": "Face_Shield", "sub_label": "clear" }, { "bbox": [ 300, 770, 400, 870 ], ...
```json [ { "bbox_2d": [270, 300, 730, 967], "label": "Coverall", "sub_label": "white" }, { "bbox_2d": [420, 300, 580, 440], "label": "Face_Shield", "sub_label": "clear" }, { "bbox_2d": [300, 770, 400, 870], "label": "Gloves", "...
{"model_id": "Qwen/Qwen3-VL-8B-Instruct", "prompt": "Detect every piece of medical personal protective equipment (PPE) visible in this image. For each, return a JSON object with \"bbox_2d\": [x1, y1, x2, y2] (coordinates normalised to 0-1000), \"label\" (exactly one of: Coverall, Face_Shield, Gloves, Goggles, Mask), an...
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{ "id": [ 48, 49, 50, 51 ], "area": [ 8250, 8000, 7469, 314901 ], "bbox": [ [ 840, 540, 66, 125 ], [ 1055, 532, 64, 125 ], [ 914, 73, 97, 77 ], [ 813, 32, 321, ...
[ { "bbox": [ 488, 100, 650, 300 ], "label": "Mask", "sub_label": "white" }, { "bbox": [ 500, 100, 648, 300 ], "label": "Goggles", "sub_label": "black" }, { "bbox": [ 500, 100, 648, 300 ], "labe...
```json [ {"bbox_2d": [488, 100, 650, 300], "label": "Mask", "sub_label": "white"}, {"bbox_2d": [500, 100, 648, 300], "label": "Goggles", "sub_label": "black"}, {"bbox_2d": [500, 100, 648, 300], "label": "Face_Shield", "sub_label": "black"}, {"bbox_2d": [500, 100, 648, 300], "label": "Coverall", "sub_la...
{"model_id": "Qwen/Qwen3-VL-8B-Instruct", "prompt": "Detect every piece of medical personal protective equipment (PPE) visible in this image. For each, return a JSON object with \"bbox_2d\": [x1, y1, x2, y2] (coordinates normalised to 0-1000), \"label\" (exactly one of: Coverall, Face_Shield, Gloves, Goggles, Mask), an...
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