Id love to see a bit more detail on fine tuning SAM/2 to do things like detect pools or solar arrays. Both these are fantastic things to have mapped for community resilience projects, but I've not been able to follow along with SAM2 fine tuning at all.

I've got a Yolov8 model which does quite a good job of finding and segmenting out solar, but the edges are absolutely horrible and require an insane amount t of work to clean up. I've seen results from SAM2 that has been trained, and the results look massively better.

Wouldn't put these in OSM due to stereo6 comment about accuracy, but I could sure use them elsewhere.