DFC2020 dataset is a large-scale remote sensing dataset designed for land cover classification and semantic segmentation tasks. It contains both Sentinel-1 images and Sentinel-2 images. The original DFC2020 dataset contains only a validation set of 986 samples and a test set of 5,128 samples. To better utilize this dataset, we treat the original test set (5,128 samples) as our training and validation sets, and the original validation set (986 samples) as our test set. In… See the full description on the dataset page:
https://huggingface.co/datasets/GFM-Bench/DFC2020.
