#unsupervised-learning

Anomalib is a deep-learning library focused on benchmarking, developing, and deploying anomaly detection algorithms, particularly for visual/image-based defect detection. It bundles state-of-the-art unsupervised and few-shot anomaly detection models with training, evaluation, and edge-deployment tooling.