Retail Back-of-House First-Person Video Data: Stocking, Restocking & Warehouse Tasks | Hand-Keypoint & SLAM/VIO Tracking | Embodied AI
Overview
Retail Back-of-House First-Person Video Data: Stocking, Restocking & Warehouse Tasks | Hand-Keypoint & SLAM/VIO Tracking | Embodied AI is a video dataset. Typical applications include robotics & embodied AI. Relevant sectors: AI & Machine Learning, Education and Manufacturing & Industrial. The listing mentions keypoints. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions keypoints.
Specifications: • Volume: 50,000 hours of video data • 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 video data • Availability: Inventory & made-to-order; volume and environment mix scoped per project • Licensing: All rights and licensing cleared for training purposes, full indemnity included.
Technical specifications
- Modalities
- Video
- File formats
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- Language
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- Volume
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- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
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