I’ve been studying remote sensing and semantic segmentation recently.I download a open dataset about remote sensing LULC (WHDLD),it’s (3 256 256) size. And it have two folder,one is image and anther is mask image.I have load the data in the Dataloader follow this https://discuss.pytorch.org/t/how-make-customised-dataset-for-semantic-segmentation/30881/13 4.And i also get a SegNet model from github. But i don’t know how should i start training?
And i put my colab code link in herehttps://colab.research.google.com/drive/1Rp6mjYTWQTKkIXY32iT_cSX5eS_PJx5Z?usp=sharing 5.