Urban Segmentation is a semantic segmentation framework for remote sensing imagery that leverages UNICOM, a vision foundation model pre-trained on 400 million images. It achieves competitive results with extreme data efficiency, requiring as few as 4 labeled satellite images for training. The project implements a streamlined pipeline for fine-tuning foundation models on overhead imagery segmentation tasks.