Many vision datasets show what an object looks like; physical AI also needs evidence of how people interact with it and what they intend to do. This release links first-person video, action-level language, and tracked motion, giving models a richer training signal for connecting perception with manipulation.
PhysicalAI Human-1M — 100K hours
Pairs egocentric video with timed task annotations and head-and-hand motion, linking human actions to their intent. The 100,000-hour release supports research and training for physical AI, with a CC BY 4.0 license.
Introduction
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- Websitehuggingface.co
- OrganizationsNVIDIA
- Published date2026/11/04
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