I'm going to automate landfill or landslide detection from satellite images in Python using u-net, semantic segmentation and TensorFlow for my master thesis with a supervise approach therefore I need to train the model with labeled images. In your opinion, I would be able to extract those training images directly with label from GEE (google earth engine) so that would be identifiable in TensorFlow . There is some public datasets for training using deep learning approaches do you know any datasets to be suitable for remote sensing?

Any advice would be appreciated, thanks in advance.