Quickly plug satellite imagery into your favorite machine learning framework -- Development Seed

Label Maker is a python library to help in extracting insight from satellite imagery. Label Maker creates machine-learning-ready training data for most popular ML frameworks, including Keras, Tensor Flow, and MXNet. It pulls data from OpenStreetMap and combines that with imagery sources like Mapbox or Digital Globe to create a single file for use in training machine learning algorithms. Supervised learning methods require two things: satellite imagery and ground-truth labels. If you're looking to train a model in Potsdam or a few other select cities, there are good datasets already available.