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
Part of the HA-Ego-Samples family

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