Real-world video annotation, cleaning, and compliance governance for embodied AI. We collect and produce high-quality datasets using UMI, egocentric, and other methods for robot training.
We provide end-to-end data solutions for embodied AI and robot training. Our data factory processes real-world videos through annotation, cleaning, and compliance governance, while also producing high-quality datasets specifically designed for embodied robot applications.
Precise annotation of real-world videos including object detection, action recognition, scene understanding, and robot manipulation trajectories.
Systematic cleaning pipelines to remove noise, duplicates, and low-quality samples. Multi-stage quality assurance ensuring dataset integrity.
Ensure data compliance with privacy regulations, proper consent management, and ethical data usage for AI training.
Specialized data collection using UMI, egocentric cameras, and other methods to capture high-quality manipulation and interaction data.
Universal Manipulation Interface datasets capturing diverse robot manipulation scenarios with high-fidelity sensory data.
First-person perspective datasets ideal for training robots to understand human actions and interactions in natural environments.
Tailored dataset creation for specific robot types, tasks, and environments based on your training requirements.
We collect real-world data using specialized equipment including UMI systems, egocentric cameras, and multi-modal sensors.
Expert annotators label data with precise annotations for actions, objects, and spatial relationships.
Automated and manual cleaning processes remove errors, ensure consistency, and validate data quality.
Final compliance checks ensure regulatory adherence before delivering ready-to-use datasets in standard formats.
Contact us to discuss your dataset requirements for embodied AI and robot training.
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