We developed a vision model that detects sailboats and buoys in coastal environments from an Unmanned Surface Vehicle (USV) perspective. With only 2000 synthetic images for training and 2 training runs, the model reached 82% F1 on a publicly-available real test sequence. This progress took one engineer two days using a single desktop GPU. Data downloads are available in the YOLO format.