Label Maker is a data preparation tool that downloads OpenStreetMap QA Tile information and satellite imagery tiles from services like Mapbox and Digital Globe. It processes these sources asynchronously and outputs .npz files suitable for machine learning training pipelines. The library targets satellite imagery classification and segmentation tasks, integrating with deep learning frameworks like Keras, and relies on tippecanoe for vector tile processing.