Comments (1)
Hi. That is correct. We do not output predictions for the unlabeled class, as it is (arguably) not a semantic class. Similar to PASCAL VOC it is treated as a void class and ignored from the loss. If you desperately need it you can retrain the network using the provided code or maybe you could just assign the unlabeled
category to every pixel with a low confidence for all other classes.
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