Hi!
I am using U-Net Image Segmentation to detect buildings in satellite images (label 0: no building, label 1: building). If I use the pixel-wise error loss, the predictions are very blobby and the borders are not very accurate. Is there a way to adapt the loss function to make the borders more accurate and the predictions less blobby?