physicl-test/pack-idc-of-my-project-oq8fp5
Living Room Furniture Detection Training Pack Training dataset of indoor living-room scenes featuring furniture objects such as sofas, rugs, chairs and tables, rendered at 2048x2048 for a computer vision recognition 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… See the full description on the dataset page: https://huggingface.co/datasets/physicl-test/pack-idc-of-my-project-oq8fp5.
Living Room Furniture Detection Training Pack
Training dataset of indoor living-room scenes featuring furniture objects such as sofas, rugs, chairs and tables, rendered at 2048x2048 for a computer vision recognition 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-test/pack-idc-of-my-project-oq8fp5