It doesn't currently, this[1] is the dataset of ~50 images I collected that I trained the model on.

I'm not really an expert so I just labeled the things I thought looked like solar panels. It's mostly meant to be an example -- if you want to use something like this in a production environment you should definitely spend more than the ~2 hours on image collection, dataset labeling, and training that I did for this!

[1] https://universe.roboflow.com/brad-dwyer/aerial-solar-panels...

Yea, I spotted a few panel-like objects that weren't captured in the example on the repo. Not sure if they were panels, but now I understand most of this is a framework for doing your own analysis. I suppose using your code, someone could also recognize pickup trucks, people, pools, etc. I think it's really neat that you can do stuff like this with drones these days, and am sad I live too close to a military airbase to use one for anything other than backyard piloting.

Yeah I was just wondering, it's probably non-trivial to distinguish between them. Cool project though!