CLARU
TrainThemAImit

TrainThem AI - Egocentric POV FHD Samples

High-fidelity egocentric (first-person POV) video samples of Activities of Daily Living and fine-motor manipulation tasks, collected via head-mounted cameras and designed for training generalist robotics policies and VLA models.

Downloads105
Episodes3
Hours150+

Why This Matters for Physical AI

Egocentric video from head-mounted cameras provides the correct visual frame of reference and natural hand-eye coordination signals needed to train embodied robot policies with real-world distribution of lighting, clutter, and manipulation sequences.

Technical Profile

Modalities
rgb
Robot Embodiments
humanoidmobile_manipulator
Environment
homekitchenbathroombedroom
Task Types
manipulationactivities_of_daily_livingorganizingtidyingwashing_dishesbimanual_coordination
Episodes
3
Total Hours
150+
Data Format
video
Annotation Types
language_annotations
License
mit
Part of the TrainThem AI - Egocentric POV FHD Samples family

Access

View on HuggingFace

Need custom rgb data?

Claru builds purpose-built datasets for home applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets

Xperience-10M

A large-scale egocentric multimodal dataset of human experience containing 10 million interactions and 10,000 hours of synchronized first-person recordings with six video streams, audio, stereo depth, camera pose, hand mocap, full-body mocap, IMU, and hierarchical language annotations for embodied AI, robotics, and world modeling research.

rgbaudiodepthproprioception+3
2.3M downloadsother

Open-H-Embodiment

A multi-embodiment community-driven dataset of paired kinematics and video for training AI autonomy models in surgical robotics and ultrasound applications. The dataset includes tabletop exercises, clinical procedures, and simulations of healthcare robotics tasks.

rgbproprioception
118K downloads2026cc-by-4.0

Open-H-Embodiment

A community-driven, multi-embodiment dataset of paired kinematics and video for training and evaluating AI autonomy models in surgical robotics and ultrasound applications, including tabletop exercises, clinical procedures, and healthcare robotics simulations.

rgbproprioception
76K downloads2026cc-by-4.0

LingBot-Depth Dataset

Self-curated RGB-D dataset for training masked depth modeling approaches, containing real-world indoor scenes, VLA robot manipulation tasks, and simulated data across multiple camera types and robot platforms.

rgbdepth
71K downloadsCC BY-NC-SA 4.0

PhysicalAI-Robotics-Manipulation-Kitchen-Demos

A large-scale dataset of 600 hours of human-teleoperated demonstrations across 316 different kitchen manipulation tasks, totalling 55k trajectories collected using a Franka Panda robot with an Omron mobile base.

rgbproprioception
57K downloads2025cc-by-4.0

OmniAction

A large-scale multimodal dataset for proactive robot manipulation comprising 141,162 episodes with cross-modal contextual instructions derived from spoken dialogue, environmental sounds, and visual cues rather than explicit commands.

rgbaudiolanguage
45K downloads2025cc-by-nc-4.0