physicl-community/fruit-on-table-recognition-for-sorting-training-50500a2b-f18369e7
Red Fruit Detection for Sorting Computer vision training dataset of 30 renders (640x640, morning lighting, RGB + albedo pass, with bounding-box and label annotations) staging red-colored fruits in restaurant, cafe and lounge environments, built to train a YOLO model to detect red fruits for sorting. 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… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/fruit-on-table-recognition-for-sorting-training-50500a2b-f18369e7.
Red Fruit Detection for Sorting
Computer vision training dataset of 30 renders (640x640, morning lighting, RGB + albedo pass, with bounding-box and label annotations) staging red-colored fruits in restaurant, cafe and lounge environments, built to train a YOLO model to detect red fruits for sorting.
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, including .exr passes such as depth_metric that the dataset viewer cannot preview but that are downloadable from /data. The metadata column is the Core renderOutput.metadata value serialized as JSON, without Hugging Face-specific enrichment.
Dataset repo: https://huggingface.co/datasets/physicl-community/fruit-on-table-recognition-for-sorting-training-50500a2b-f18369e7