Cleanlab

Cleanlab helps improve machine learning datasets by detecting label errors, outliers, and noisy samples. It integrates with existing workflows to boost model accuracy without collecting new data.

Key Features:

• Automatic label error detection

• Noise and outlier identification

• Data-quality dashboards

• Works with any ML framework

• Improves model performance with existing data

• Enterprise-ready APIs