I am working on Sentinel-1 using deep learning . The work is aimed at detecting flood water (pixel classification) using Unet Model and Resnet 18 backbone. Just wondering why (inference) pixel classification using deep learning has not been successful.
Unfortunately, after hours of model training, deep learning pixel classification turns up with an empty layer as attached.
Please, can anyone help?
Hello Andrew, were you able to solve it?