Terra

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Terra offers full stack data products for robotics foundation models, including video, trajectories, and rich multimodal annotations, collected with AI-powered diversity engines for pre-training, post-training, and evaluation.

Model Training PlatformsTraining InfrastructureLabeling Platforms

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Features

Collect video, trajectories, and multimodal annotations for robotics models
Provide diverse environments and manipulation tasks for pre-training
Optimize action labels for imitation learning during post-training
Measure real-world performance with standardized evaluation tasks
Capture data from multiple camera perspectives including ego-centric and overhead views
Conduct human-controlled demonstrations with expert operators
Automatically categorize and validate data with AI-powered diversity steering
Fill data collection gaps by redirecting collection efforts

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