Anomaly Detection at Various Anomaly Percentages

Anomaly detection is a crucial computer vision task aimed at identifying samples in a dataset that significantly deviate from normal patterns. This task focuses on unsupervised anomaly detection under varying anomaly ratios, where algorithms automatically learn the normal patterns without labeled data and can effectively identify anomalies. It has broad application value in areas such as industrial quality inspection, medical diagnosis, and security monitoring.