Calibra
Calibra is a dataset health and coreset optimization tool that lets robotics teams audit data integrity and reduce training compute.
What it does
About Calibra
Calibra is a dataset health and optimization platform built for robotics teams. It audits data integrity, evaluates overall quality and coverage, and constructs quality-aware dataset coresets. The tool analyzes datasets using four sequential steps—Integrity, Quality, Coverage, and Optimization—to enable training on reduced dataset sizes and lower GPU compute spending. Calibra executes locally with deterministic outputs and CI-friendly exit codes, integrating with formats such as LeRobot, Isaac Lab HDF5, RLDS TF Datasets, robomimic HDF5, and Hugging Face Hub IDs without requiring user accounts or API keys.
- Availability:
- launched
- Access:
- free
- Format:
- software
- Platform:
- cli
- Platform:
- web
Pricing at launch: Free to use locally or via a web browser demo without requiring an account, data upload, or API key.
Core capabilities
Sequential Dataset Diagnostics
Processes robotics data through sequential Integrity, Quality, Coverage, and Optimization checks to verify data health and build trimmed coresets.
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