MIT-Media-Lab2021cc-by-nc-4.0
DexYCB VITRA Hybrid Streaming Release
A completed VITRA Stage-1 conversion of 1,000 physical DexYCB sequences containing fixed-camera, allocentric human hand-object interaction data with multi-view RGB video, hand pose annotations, and object trajectory labels.
Downloads328
Episodes1000
Why This Matters for Physical AI
This dataset provides large-scale, precisely annotated human hand-object interaction data with calibrated multi-view RGB and hand pose supervision, serving as valuable supplemental training signal for vision-language-action models in dexterous manipulation research.
Technical Profile
- Modalities
- rgbhand_posedepthsegmentationcamera_intrinsicscamera_extrinsics
- Environment
- lab
- Task Types
- hand_pose_estimationobject_manipulationpick_and_place
- Episodes
- 1000
- Data Format
- NumPy
- Annotation Types
- hand_pose_keypointsMANO_parametersobject_trajectorylanguage_instructionscamera_calibrationsegmentation_masks
- License
- cc-by-nc-4.0
Access
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