RoboSat is a Python-based machine learning pipeline for semantic segmentation on aerial and satellite imagery. It provides commands for training segmentation models, making predictions, and serving trained models. The pipeline extracts visually distinguishable features such as buildings, parking lots, roads, and cars from imagery and outputs structured GeoJSON polygons.