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environment_id
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b51aecb0-0f80-40d2-b6b3-d5e49cacc994
RT-DETR Fruit Detection Eval in Packed Fridge
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Camera_001
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["beauty"]
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{"camera":{"image_width_px":1024,"position_world":{"x":15.626313,"y":-5.058435,"z":1},"focal_length_mm":35,"image_height_px":1024,"rotation_quaternion":{"w":0.6809569,"x":0.6809569,"y":0.190519467,"z":0.190519467}},"daylight":{"time":null,"system":"basic_light","location":null},"products":{"locations":[{"sku":"810069_F...

RT-DETR Fruit Detection Eval in Packed Fridge

Evaluation dataset of a packed kitchen/refrigerator scene containing fruits, used to measure how well an RT-DETR object detection model — already strong on vegetables — detects fruits.

This dataset mirrors public data-pack render outputs from Physicl.

Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync operator.

Additional render passes are exposed as URL columns. The metadata column is the Core renderOutput.metadata value serialized as JSON, without Hugging Face-specific enrichment.

Dataset repo: https://huggingface.co/datasets/physicl-test/fridge-vegetable-detection-training-set-next-pack-50ef80a7-413be7e6

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