humanarchive2026apache-2.0
HA-Ego-Samples
A large-scale egocentric (first-person) video dataset capturing everyday human activities across commercial, residential, and industrial environments with 500 hours of footage from 4,651 unique individuals wearing head-mounted cameras. Designed for robotics and manipulation research with 9,343 video clips spanning 259 task categories across 45 environment types.
Downloads139
Episodes9343
Hours500.0
Why This Matters for Physical AI
This egocentric dataset captures human sensorimotor intelligence across diverse real-world tasks and environments, providing rich behavioral demonstrations for learning manipulation and activity understanding in robotics.
Technical Profile
- Modalities
- rgb
- Environment
- commercialresidentialindustrialfactoryhospitalitykitchenhome
- Task Types
- manipulationhuman-activityoperating_machinecutting_vegetables
- Episodes
- 9343
- Total Hours
- 500.0
- Data Format
- MP4
- Annotation Types
- task_labelsenvironment_labels
- License
- apache-2.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for commercial applications with dense human annotations and quality assurance.
Request a Sample Pack