physicl-community/lighting-invariant-bedroom-perception-robustness-benchmark-next-pack-1917c2cb-f1975230

Home Object Detection, Grasping and Sorting Eval — YOLOv8

Evaluation dataset for a robotic arm that detects, grasps, and sorts objects by type in home environments. 30 renders at 640x640 across kitchen, entry, living room and dressing spaces, staged with everyday household objects. Includes RGB plus metric depth, world-space normals (OpenGL, linear), albedo and material index passes, per-frame annotations, and midday lighting. Targets a YOLOv8 model.

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/lighting-invariant-bedroom-perception-robustness-benchmark-next-pack-1917c2cb-f1975230