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10,000-Hour Egocentric Video Dataset for Robotics and AI Manipulation Training
embodied ai dataset
robotics dataset
robot learning dataset
robot manipulation dataset
vla dataset
egocentric video dataset
This dataset contains 10,000 hours of egocentric multimodal data collected from diverse real-world environments, including residential, retail, and office scenarios. It covers a wide range of human activities and manipulation tasks, such as meal preparation, cleaning, storage, garment care, merchandising, and object picking. Each sample includes synchronized 4K stereo video, camera calibration parameters, 76-point full-body pose annotations, and fine-grained step-by-step action sequence labels. The dataset is suitable for robot learning, manipulation policy development, and Vision-Language-Action (VLA) models.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Supports dense semantic & action-level annotations; all data passes multi-stage quality control reviews
Data Quality
Supports 4096×1536 / 30fps HD video output, tracks 24 torso joints and 52 hand joints, with frame-wise dense annotations and full-process quality control
Specifications
Sample
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