Cleanlab

Cleanlab is an open-source data-centric AI platform designed to help teams identify and resolve noisy, mislabeled, or low-quality data—critical issues undermining machine learning model reliability. It automates detection of label errors, outlier samples, ambiguous data points, and duplicates across structured, unstructured (text), and image datasets. Compatible with PyTorch, TensorFlow, Scikit-learn, and Hugging Face, it integrates smoothly into existing workflows, enabling data scientists to prioritize cleaning tasks efficiently. Cleanlab’s tools support dataset curation and validation, empowering teams to build robust AI systems without tedious manual auditing, saving time and boosting model accuracy.