xuejf2026
EgoSuite-Open1K
A large-scale egocentric dataset containing 10,000 hours of real-world human activity across seven scene families, organized into six composable research SKUs with progressive supervision layers including pose and semantic annotations.
Downloads0
Hours10000
Why This Matters for Physical AI
EgoSuite-Open1K provides large-scale egocentric video with structured pose and semantic supervision across real-world domestic and professional environments, enabling training of embodied AI systems for natural human-object interaction understanding and imitation learning.
Technical Profile
- Modalities
- rgbhand_posebody_posesemantic_annotation
- Environment
- homehospitalityretailsportslogisticsofficeindustry
- Task Types
- manipulationdaily_routinesservice_flowspickingcheckouttrainingsortingpackingdesktop_workassembly
- Total Hours
- 10000
- Data Format
- WebDataset
- Annotation Types
- hand_posebody_posesemantic_labelslanguage_instructions
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