animals Article Revealing the Unknown: Real-Time Recognition of Galápagos Snake Species Using Deep Learning Anika Patel 1, Lisa Cheung 1, Nandini Khatod 1, Irina Matijosaitiene 1,2,3,*, Alejandro Arteaga 4 and Joseph W. Gilkey Jr. 1 1 Data Science Institute, Saint Peter’s University, Jersey City, NJ 07306, USA;
[email protected] (A.P.);
[email protected] (L.C.);
[email protected] (N.K.);
[email protected] (J.W.G.J.) 2 Institute of Environmental Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania 3 Department of Information Technologies, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania 4 Tropical Herping, Quito 170150, Ecuador;
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[email protected] Received: 2 March 2020; Accepted: 26 April 2020; Published: 6 May 2020 Simple Summary: The snakes in Galápagos are the least studied group of vertebrates in the archipelago. The conservation status of only four out of nine recognized species has been formally evaluated, and preliminary evidence suggests that some of the species may be entirely extinct on some islands. Moreover, nearly all park ranger reports and citizen/science photographic identifications of Galápagos snakes are spurious, given that the systematics of the snakes in the archipelago have just recently been clarified. Our solution is to provide park rangers and tourists with easily accessible applications for species identification in real time through automatic object recognition. We used deep learning algorithms on collected images of the snake species to develop the artificial intelligence platform, an application software, that is able to recognize a species of a snake using a user’s uploaded image.