Semantic Segmentation from scratch

Hi People. I am new to this deep learning world and I was learning concept regarding semantic segmentation.

I have seen some tutorials where they are using already trained models on famous datasets. I want to learn how to train my data and test it from scratch using architectures like UNet in PyTorch.

It would be great if someone can suggest tutorials where they are doing it from scratch.

Thanks guys. :slight_smile: