physicl-test/pack-xmi-of-my-project-3akkcp-8eeafbe1

GraspNet Eval — Transparent Object Grasping (Home)

Evaluation datapack for GraspNet on grasping transparent objects with a robotic arm in home environments. 30 renders at 128x128 across three home scenes (two bedrooms and a dressing), with depth (metric), world-space normals (OpenGL linear), attenuation, trimap and material index passes to expose transparent, reflective and translucent surfaces where grasp detection is unreliable. Goal: locate and quantify where the model fails.

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/pack-xmi-of-my-project-3akkcp-8eeafbe1