> Something like segmenting houses, roads, bodies of water, comparing against current data and highlighting inconsistencies for correction would be a good start though.

Hi there, I agree that is a valuable usage of a model trained with OSM data.

I didn't have the time to release the code but I am/was doing exactly that to refine the training dataset. I take the trained model and run it against the ground truth from OSM. Any heavy mismatch between the two almost always result in an useful edit to be made in OSM.