A tool to build labeled object detection training datasets from large-scale satellite/aerial imagery collections: https://github.com/noahgolmant/label-tiles

Web maps usually join together lots of small images called tiles (this is why you see square patches as google earth/map loads). They do this by querying a "tile server" API. It turns out this standard can also be leveraged to label and fine-tune models on map imagery. In my day job we built infra to efficiently serve imagery through tile servers for map visualization. So I wanted to test out ML applications of that infra.