This competition looks very interesting and I think the solution can have immense humanitarian uses (disaster response, urban planning, census etc). Although, I am not sure how can we leverage powerful image feature detection capabilities of CNNS but also tackle the challenges of mutli class detection and the continuity of the images which is very different from image classifications we did in the course (cats & dogs or fisheries). Seems like FCNs are the way to go?
Regarding FCNs, I found this article very useful: https://devblogs.nvidia.com/parallelforall/image-segmentation-using-digits-5/
Any other must know ideas/articles about working with satellite imagery and object detection?