I would like to ask if anyone has experience working on satellite image segmentation problems.
I am thinking of a use case of detecting changes in the images by first doing semantic segmentation on two images of the same location (different times) and then a comparison to flag out any changes. For example mapping out areas of deforestation.
I am currently looking for the best dataset to work with it. So far the closest one seems to be from the Kaggle DSTL challenge from 3 years ago. Maybe anyone knows, has tried or found any other dataset?
Also would be cool to hear if anyone has tried something similar and how did it turn out.