Egocentric Data POV Dataset | Across 16 Residential & Commercial Environments | 9-DoF Synchronized Stereo Camera + IMU for Physical AI & Robotics
Overview
Egocentric Data POV Dataset | Across 16 Residential & Commercial Environments | 9-DoF Synchronized Stereo Camera + IMU for Physical AI & Robotics is a video dataset. Typical applications include robotics & embodied AI. Relevant sectors: AI & Machine Learning, Education and Manufacturing & Industrial. Pricing is not published and is provided on request.
Primary applications
Specifications: • Volume: 50,000 hours • Weekly output: 1,000+ hours of new footage added per week • Environments: 16 distinct settings — 1 residential (home & daily living) and 15 non-residential (construction, food service, retail, auto repair, warehousing, personal care, and more) • Camera: Dual 1920×1080 @ 30fps global-shutter stereo cameras, 157° horizontal / 84° vertical FOV, hardware-synchronized exposure • Motion sensing: 400Hz 9-DoF IMU (accelerometer, gyroscope, magnetometer), hardware-synced to the camera clock • Audio: Stereo, synced to video and IMU • Format: mcap and LeRobot v3, H.265/HEVC encoding • Capture hardware: Proprietary wearable rig, purpose-built for embodied-AI capture • Application scenarios: Physical AI, robot foundation models, imitation learning, egocentric vision, human-activity understanding • Availability: Inventory & made-to-order; volume and environment mix scoped per project • Licensing: All rights and licensing cleared for training purposes, full indemnity included. Please reach out for custom egocentric data quotes and specializations, timeline, environment and quality all subject to customization.
Technical specifications
- Modalities
- Video
- File formats
- MP4, JSON, JSONLInferred
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1. Overview 100K Hours Multiple Scenes Ego-Centric Data, human manipulation data captured from a first-person view across real-world scenarios.
- Language
- —
- Volume
- 100k h
- Domain
- AI & Machine Learning +2
- Use case
- Robotics & embodied AI