xuejf

EgoSuite-Open10K

Name: EgoSuite-Open10K
Creator: xuejf
Keywords: rgb, hand_pose, body_pose, semantic_annotation, cooking, cleaning, object_organization, food_preparation, picking, restocking, packing, tool_use, assembly, manipulation, fine_manipulation, home, hospitality, retail, sports, logistics, office, industry

Real-world egocentric human activity dataset with 10,000 hours of video across 7 environment families, captured from head and wrist viewpoints with structured pose and semantic supervision for embodied AI and robot learning.

Downloads0
Hours10000

Why This Matters for Physical AI

EgoSuite-Open10K provides large-scale real-world egocentric human demonstration data with multi-view synchronization and rich pose/semantic supervision, enabling training of embodied AI systems and world models for complex, long-horizon manipulation and activity understanding.

Technical Profile

Modalities: rgbhand_posebody_posesemantic_annotation
Environment: homehospitalityretailsportslogisticsofficeindustry
Task Types: cookingcleaningobject_organizationfood_preparationpickingrestockingpackingtool_useassemblymanipulationfine_manipulation
Total Hours: 10000
Data Format: WebDataset
Annotation Types: hand_posebody_posesemantic_labelslanguage_instructions

Part of the EgoSuite-Open10K family

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