For my Intro to Supervised Learning ML course, I designed a computer vision based classification algorithm. The method solves the classic image recognition problem tuned specifically for spacecraft attitude estimation. Using a published database of spacecraft pose images, I trained and tested the algorithm to fit a minimally-bounding surface to the spacecraft. This approach would allow for easier feature detection and attitude estimation.