Anomaly Instance Segmentation

Anomaly Instance Segmentation is a crucial task in the field of computer vision, aimed at accurately identifying and segmenting instances of anomalous objects from images. This technology detects and localizes anomalous regions within images, providing pixel-level annotations for each abnormal instance, thereby delivering highly precise anomaly detection results. Its application value is extensive, including industrial quality inspection, medical image analysis, and security surveillance, significantly enhancing the accuracy and efficiency of anomaly detection.