Probably it’s because dataset from tutorial is only for one class detection.
And it doesn’t raise an error if you have several classes on image.
I’m looking for example of training data for multicalss detection too.
If you solve this issue please help me, I can’t understand how to prepare data for training, I have image and mask with 5 classes on it, but how the boxes should look like if there is several objects for one class and so on… cant understand
p.s. pytorch tutorials are misleading