mzxuan
Real-World Data — Camera-3 Annotations
Perception annotations for 800 real robot demonstration episodes across four manipulation tasks, including instance masks, object identities, 2D/3D bounding boxes, and role labels for camera 3 only.
Downloads0
Episodes800
Why This Matters for Physical AI
This densely annotated real-world manipulation dataset enables training of perception models for robotic object detection, instance segmentation, and 3D spatial understanding in cluttered manipulation scenarios.
Technical Profile
- Modalities
- rgbdepthproprioception
- Environment
- lab
- Task Types
- manipulationpick_and_place
- Episodes
- 800
- Data Format
- HDF5
- Annotation Types
- instance_segmentationobject_detectionsegmentation3d_bounding_boxes2d_bounding_boxeslanguage_instructions
Access
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