xuejf
EgoSuite-Open10K
10,000 hours of real-world egocentric human activity data organized into six composable data SKUs with head and wrist viewpoints, designed for embodied AI and world-model research.
Downloads0
Hours10,000
Why This Matters for Physical AI
Provides large-scale egocentric human demonstration data with multi-view capture and pose supervision to support perception, action understanding, and imitation learning for embodied AI systems operating in real-world domestic, commercial, and industrial environments.
Technical Profile
- Modalities
- rgbhand_posebody_posesemantic_labels
- Environment
- homehospitalityretailsportslogisticsofficeindustrial
- Task Types
- manipulationdaily_routinesfood_preparationpickingrestockingequipment_handlingsortingpackingassemblyinspection
- Total Hours
- 10,000
- Data Format
- WebDataset
- Annotation Types
- hand_pose_3dbody_pose_3dsemantic_labelsaction_labels
Access
Need custom rgb data?
Claru builds purpose-built datasets for home applications with dense human annotations and quality assurance.
Request a Sample Pack