Anomaly Score

After the skill is trained, an anomaly score is calculated for each image in the validation dataset to determine the baseline anomaly score. The anomaly score is a value from 0 to 100, which indicates the significance of the anomaly compared to the training dataset. A high anomaly score indicates a higher probability that the skill detected an anomaly in the current image. After training, if the tolerance level for the skill is changed, the skill will only display images with an anomaly score greater than the tolerance score