API for multimodal
human activity data
Egocentric human activity data with SLAM, 3D pose, hand reconstruction, and human labels.
Built by a team from
The largest multimodal dataset of human activity
Egocentric video, motion, and sensor data collected from real workers across dozens of industries worldwide.
| # | Industry | # | Industry |
|---|---|---|---|
| 1 | Manufacturing | 6 | Warehousing |
| 2 | Construction | 7 | Agriculture |
| 3 | Restaurants | 8 | Automotive |
| 4 | Hospitality | 9 | Healthcare |
| 5 | Electrical Work | 10 | Household |
| 6 | Warehousing |
| 7 | Agriculture |
| 8 | Automotive |
| 9 | Healthcare |
| 10 | Household |
Data modalities
Egocentric video
First-person footage from real workers across real environments
Motion & sensor data
IMU, accelerometer, and gyroscope streams from wearable devices
Dense annotations
Dense, human annotations on every video. Included with each dataset or available standalone.
Build it with us
Renlei works with people and workplaces around the world to capture real activity responsibly, with clear instructions and scope agreed in advance. Choose one or more ways to get involved.
Contribute to projects
Record approved tasks with wearable equipment on paid, clearly scoped projects.
Make introductions
Connect Renlei with people, communities, or companies that could support local projects.
Lead in your region
Recruit, coordinate, and support contributors and projects in your city or country.
Host a project
Explore approved data collection inside a factory, farm, warehouse, workshop, or site.