Segmentation IoU score: IoU score is calculated by the area of the intersection of the two regions divided by the area of their union set. It is a good indicator of whether the prediction is consistent with the label.
Classification F1score: The F1 score is calculated based on the precision and recall of each class. It is the weighted average of the precision and the recall scores. The F1 score reaches its perfect value at one and worst at zero. It is a very good way to show that a classifier has a good recall and precision values.