OpenEgo
Description
OpenEgo consolidates six public egocentric datasets into 1,107 hours, 119.6 million frames, and 344,500 recordings covering 290 manipulation tasks in more than 600 environments. Its kitchens and indoor rooms include cooking, assembly, and daily activities from at least 258 participants. It normalizes both hands to camera-frame MANO-21 joints and adds timestamped, intention-aligned language primitives naming actions, objects, actors, and navigation targets for dexterous imitation learning, world models, and hierarchical vision-language-action training.
License
Varies by source dataset. Code: MIT.*
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