Satellite imagery segmentation using U-NET

In this blog, we will conduct picture segmentation on a very limited dataset using U-Net, a popular segmentation CNN model. There will also be some customized loss functions used for training reasons, such as dice loss and Jaccard index metrics. The data that we will be working with comes from kaggle. The dataset is called Semantic segmentation of aerial imagery. The dataset has two sorts of files .jpg