Video · 3D / Point cloud / Manufacturing & Industrial
Egocentric Video Dataset — Zed + Pico + Motion Trackers Setup (1,729 hours)
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
Egocentric Video Dataset — Zed + Pico + Motion Trackers Setup (1,729 hours) is a video and 3d / point cloud dataset. The provider states a volume of 1,729 hours. Typical applications include object detection and robotics & embodied AI. Relevant sectors: Manufacturing & Industrial. The listing mentions keypoints. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 1,729 hours.
- Listing mentions keypoints.
Overview This egocentric dataset is a commercial collection of 1,729 hours of multimodal first-person recordings produced by the provider for Physical AI, robotic systems, manipulation tasks, and egocentric vision research. It is distinguished by its dual-camera configuration: a Pico 4 Ultra VR headset for the egocentric viewpoint combined with 4 Zed stereo cameras that add spatial depth. The result is multimodal data that pairs first-person perspectives with 3D scenes and 3D objects, supporting 3D reconstructions, 3D pose estimations, and egocentric tracking in a way few existing datasets can match. What's Included - 1,729 hours of first-person videos from a Pico 4 Ultra headset - 4 Zed stereo cameras capturing spatial depth for 3D reconstructions - Body-worn motion trackers delivering full-body human motions - Quaternion orientation from onboard sensor fusion for accurate 3D pose data - IMU signals — accelerometer, gyroscope, and magnetometer - A .txt labeling file per recording with data annotations Hardware & Recording Conditions The Zed + Pico + Motion Trackers setup is built around scripted object transfer tasks that combine the wearer's egocentric views with synchronized stereo depth from four external cameras. By fusing visual data from the headset and the Zed array, this subset reconstructs 3d scenes and 3d objects alongside the first-person stream — ideal for training robotic systems that need both viewpoint context and spatial geometry. Quaternion-based orientation supp
Related datasets
More in Video & Physical AI →Video · 3D / Point cloudAdvertised
Egocentric Video Dataset — 4,050 Hours of First-Person Videos for Physical AI, Robotics & Egocentric Vision
Overview The Egocentric Video Dataset is a large-scale, multimodal collection produced by the provider, containing 4,050 hours of first-person egocentric videos of daily…
- Language
- —
- Volume
- 4,050 h
- Domain
- Manufacturing & Industrial
- Use case
- Object detection
USD 30,000
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