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Check out the documentation for more information.
50000-Hours-UMI-Embodied-Manipulation-Dataset
Overview
UMI Embodied Manipulation Dataset: a large-scale real-world teleoperation dataset for embodied AI, captured in real homes with uDAS 1.0. It offers ≈50,000 h footage, ≈934k episodes and ≈19.2M action segments. Each episode records six first-person streams (head 1408×1280, wrist 640×480, 30 fps) plus 30 Hz aligned proprioceptive state. Two-level annotations, scene/object/action labels, LeRobot v2.1.
For more details, please refer to the link: https://www.nexdata.ai/datasets/embodied-ai/2300?source=Huggingface
Specifications
Application domain
Embodied AI, robot manipulation, visionlanguage-action models
Task type
Everyday household tasks (cleaning, tidying, organizing, cooking, etc.)
Capture method
Human operation, headset localization + handheld grippers, six synchronized cameras
Capture environment
Real homes, not a laboratory
Observation modalities
6 RGB video streams + bimanual end-effector poses, gripper opening, torso pose
Annotation coverage
High-level task description + subtask timeline
Supported algorithms
VLA pre-training and fine-tuning, imitation learning, action tokenization, long-horizon task planning, generalization evaluation
Licensing Information
Commercial License
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