Multimodal egocentric video of facility workers with hand tracking, head pose, and action labels
Overview
Multimodal egocentric video of facility workers with hand tracking, head pose, and action labels is a multimodal dataset. The provider states a volume of 550 hours. Typical applications include robotics & embodied AI. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 550 hours.
- A sample is indicated as available from the provider.
A collection of head-mounted, first-person recordings of people doing real facility work in commercial buildings: maintenance, electrical and ceiling work, cleaning, painting and plastering, and operating floor machines. The recordings come from parking garages, shopping malls, retail stores, offices, restrooms, commercial kitchens and plant rooms. Every session is captured on a 6-camera stereo headset. Each one includes 26-joint articulated hand tracking for both hands, 6-DoF head pose and ~1 kHz IMU, plus a per-second action label with the objects involved and a machine-readable QC report.
Technical specifications
- Modalities
- Video, Multimodal
- File formats
- Not specified by the provider
- Volume
- 550 hours
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- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI
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