Training visual anomaly detection models involves developing algorithms to identify unusual patterns or anomalies in image data that do not conform to the expected behavior. These models are crucial in various applications, including industrial inspection, medical imaging, and logistics.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/announcing-visual-anomaly-detection/