Panama City, Florida, United States
Research machine learning methods to increase accuracy scoring in side-scan sonar image detection. I proposed using a Generative Adversarial Network to aid in unique data generation and implement the data into a image detection algorithm. In testing, the proposed method produced an overall increase accuracy score of 10 percent. This method is an alternative way of collecting useful data, as it removes the need of running countless at sea missions. By using machine learning detection algorithms with this study, the need for human interaction is negated.