Wait, we are not mapping things we see in sattelite images, we are mapping things that have ground truth.
Please do not contribute anything ai-fantasized
Please do not contribute anything ai-fantasized
If this can be somewhat consistent then it'll probably do better than the average OSM contributor. 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.
let us reconsider this statement, please. An unexpected and powerful effect of the Openstreetmap project is iterated convergence on ground truth. No person is perfect in contribution, and few people are consistently terrible. Revision and updates, common vision towards accuracy, an appreciation of cooperative contributions.. have astounded the public and humbled critics repeatedly. Not because every key stroke and mouse click is perfect, but because iteration and plural sources have converged in a usable system of software and data.
AI inputs to Openstreetmap are not new, as noted in other comments. The path forward is bright, useful to humans and participatory in the Openstreetmap project.