Automated Approaches to Bowhead Whale Identification
Second Faculty Mentor
This project aims to automate the identification of bowhead whales using convolutional neural networks. The initial neural network identifies key points to outline each whale and uses these points to divide each whale into three sub-sections: the fluke, the back, and the head. Upon segmenting the whale, each sub-section was used to identify individual bowhead whales through the white patterns and scarring on their backs. The results from each segment were then combined into a final classifier to identify bowhead whales.
La, Kacey and Gregory, Sam, "Automated Approaches to Bowhead Whale Identification" (2022). Computer Science Summer Fellows. 5.
Available to all.