Thank you for that, its clear now, however my model output is [batch_size, nb_classes=4, height, width].
When making predictions on a new image using model(image), I get the raw logits score. How do I choose the most “probable” class for each pixel.
Do I have to take some kind of argmax on the nb_classes dimension?
Reminder - Multi Class Segmentation(4 classes)