Facial recognition software could provide scientists with insights into the behavior of harbor seals in Maine.
Colgate University researchers built the SealNet program using a modified version of software designed to recognize primates.
Colgate's Krista Ingram said the researchers also combined features from other facial recognition algorithms into their model, then trained SealNet to identify seal faces and distinguish between individual harbor seal.
The algorithm was 95% accurate when tested on more than 1,700 photos of over 400 individual seals.
Said the University of Maine's Kristina Cammen, "I think [facial recognition software] will give us a better sense of seals as individuals, and that can offer us a better sense of their ecologies and behavioral patterns."
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