Hello everyone,

first of all, big congratulations to the winners of this challenge! 🎉 I thought it would be nice to share some insights from this challenge (just as Koleshjr did) so we can all learn together as a community.

Here is my solution: https://github.com/PhilipJanz/Landslide-Image-Classification

It’s a fairly lightweight CNN-based model that takes RGB and SAR as separate input domains, merging them halfway through the network. I tried hard to use pre-trained models, but I couldn’t beat my own model trained from scratch. If anyone managed to find a well-suited pre-trained model, I’d love to hear about it! 🙂