Video · 3D / Point cloud / Manufacturing & Industrial
Egocentric Video Dataset — 4,050 Hours of First-Person Videos for Physical AI, Robotics & Egocentric Vision
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
Egocentric Video Dataset — 4,050 Hours of First-Person Videos for Physical AI, Robotics & Egocentric Vision is a video and 3d / point cloud dataset. The provider states a volume of 4,050 hours. Typical applications include object detection and robotics & embodied AI. Relevant sectors: Manufacturing & Industrial. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 4,050 hours.
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 household activities recorded in home environments. The dataset is purpose-built for Physical AI development, robotic systems training, manipulation tasks research, egocentric vision benchmarking, and human motion analysis. Unlike existing egocentric datasets that rely on synthetic data or laboratory setups, this collection captures genuine human motion variability in naturalistic home settings — covering kitchens, bathrooms, living rooms, and other everyday spaces. Varied recording speeds, hardware configurations, and hand visibility conditions make it a practical foundation for building models that generalize to real-world deployment. Hardware Configuration The dataset was captured using two complementary hardware setups: - Pico + Motion Trackers — 2,321 hours (57.3% of total footage): egocentric video from the Pico 4 Ultra VR headset combined with body motion tracker data, covering natural-speed domestic scenarios, slow-motion recordings with both hands always in frame, and real-speed object transfer tasks. - Zed + Pico + Motion Trackers — 1,729 hours (42.7% of total footage): scripted object transfer scenarios captured simultaneously via stereo Zed cameras and Pico VR headset, providing both spatial depth and egocentric first-person perspective in a single synchronized recording. Sensor & Orientation Data Quat
Related datasets
More in Video & Physical AI →Video · 3D / Point cloudAdvertised
Egocentric Video Dataset — Pico + Motion Trackers Setup (2,321 hours)
Overview This egocentric dataset is a commercial collection of 2,321 hours of first-person videos produced by the provider for Physical AI, robotic systems, manipulation…
- Language
- —
- Volume
- 2,321 h
- Domain
- Manufacturing & Industrial
- Use case
- Object detection
USD 30,000