physicl-community/fruit-on-table-recognition-for-sorting-next-pack-9a889d4d-aee688d0
Outdoor Fruit Detection & Sorting Training dataset of 100 outdoor scenes (market squares and an alleyway) framing fruit among stalls and produce, at 640x640 with albedo, material index, world normals and metric depth passes plus per-frame annotations, to train a YOLOv8 model to detect, classify and count fruit types for eventual sorting. This dataset mirrors public data-pack render outputs from Physicl. Each row represents one render view. The image column contains a stable URL… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/fruit-on-table-recognition-for-sorting-next-pack-9a889d4d-aee688d0.
Outdoor Fruit Detection & Sorting
Training dataset of 100 outdoor scenes (market squares and an alleyway) framing fruit among stalls and produce, at 640x640 with albedo, material index, world normals and metric depth passes plus per-frame annotations, to train a YOLOv8 model to detect, classify and count fruit types for eventual 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-next-pack-9a889d4d-aee688d0