egocentric-video
egocentric-video-imu-multimodal-sample-v1
Origin Data Lab — Egocentric Video + 6-DoF IMU Sample
This public technical sample demonstrates Origin Data Lab's capability to collect, structure, quality-check, and package real-world egocentric multimodal data for AI, robotics, and embodied-AI applications.
The sample contains egocentric video, task-level 6-DoF IMU data, sanitized metadata, and machine-measured sensor QC.
This repository is a limited public capability sample, not a complete production dataset.… See the full description on the dataset page: https://huggingface.co/datasets/origindatalab/egocentric-video-imu-multimodal-sample-v1.EgocentricVideos
Egocentric Bimanual Hand Videos
1) Raw video of three bimanual dexterous manipulations tasks
2026-01-05_19-35-47-pick-place.mp4 (3 m 56 s)
2026-01-05_19-52-29-reorient-place.mp4 (3 m 15 s)
2026-01-05_19-57-25-bimanual-place.mp4 (3 m 15 s)
2) Segmented short clips for each task (unlabeled demonstrations)
2026-01-05_19-35-47-pick-place.zip (39 demos)
2026-01-05_19-52-29-reorient-place.zip (40 demos)
2026-01-05_19-57-25-bimanual-place.zip (40 demos)… See the full description on the dataset page: https://huggingface.co/datasets/HoyerChou/EgocentricVideos.egocentric-video
Egocentric Dataset for Physical AI and Robotics
The dataset contains 4,050 hours of first-person videos for egocentric vision and egocentric tracking. Featuring multimodal data from egocentric views, it includes data annotations and motion capture for extracting 3d poses. It provides detailed 3d objects and 3d scenes using visual data from VR headsets to analyze hands motions and pose estimations.… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/egocentric-video.egocentric_videoDataset Description:
This dataset is a large-scale collection of egocentric video data, containing 229,189 hours of video, designed to support the development and training of advanced computer vision, video understanding, action recognition, and multimodal AI systems.
Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, improving model performance in temporal reasoning, activity recognition, scene… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/egocentric_video.egocentric-video
Egocentric Dataset for Physical AI and Robotics
The dataset contains 4,050 hours of first-person videos for egocentric vision and egocentric tracking. Featuring multimodal data from egocentric views, it includes data annotations and motion capture for extracting 3d poses. It provides detailed 3d objects and 3d scenes using visual data from VR headsets to analyze hands motions and pose estimations. .- Get the data
Dataset characteristics:
Characteristic
Data… See the full description on the dataset page: https://huggingface.co/datasets/UnidataRobotics/egocentric-video.egocentric-activity-video-samples
Egocentric Activity Video Samples
This sample shows first-person activity video for reviewing task flow, camera perspective, and real-world action structure before scoping a larger delivery.
What This Shows
Egocentric footage of everyday task activity
Clip-level metadata for task and scene review
A view of capture quality, framing, and movement patterns
Dataset Specifications
Field
Value
Modality
Video
Domain
First-person activity… See the full description on the dataset page: https://huggingface.co/datasets/psdn-ai/egocentric-activity-video-samples.