xuejfcc-by-nc-sa-4.0

EgoStandard

9,000 hours of head-view egocentric video capturing human activities with aligned 3D hand pose, body pose, and semantic annotations across three progressive supervision configs.

Downloads0
Hours9000

Why This Matters for Physical AI

This egocentric human activity dataset with precise 3D pose and semantic annotations enables training of embodied AI systems to understand human manipulation tasks, hand-object interactions, and activity semantics from a first-person perspective.

Technical Profile

Modalities
rgbhand_pose_3dbody_pose_3dsemantic_annotation
Environment
homeindoor
Task Types
manipulationgraspingpick_and_place
Total Hours
9000
Data Format
parquet
Annotation Types
hand_pose_3dbody_pose_3dsemantic_annotationlanguage_instructions
License
cc-by-nc-sa-4.0
Part of the EgoSuite-Open10K family

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