Multilabel training for finetuning

Hello guys! Is there any example about training a dataset for finetuning segmentation like the pedestrians one with more than 2 classes or labels?

The example about which im talking is the next one:

https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html

Thank you.