A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species

Patton, P T, Cheeseman, T, Abe, K, Yamaguchi, T, Reade, W, Southerland, K, Howard, A, Oleson, E M, Allen, J B, Ashe, E, Athayde, A, Baird, R W, Basran, C, Cabrera, E, Calambokidis, J, Cardoso, J, Carroll, E L, Cesario, A, Cheney, B J, Corsi, E, Currie, J, Durban, J W, Falcone, E A, Fearnbach, H, Flynn, K, Franklin, T, Franklin, W, Galletti Vernazzani, B, Genov, T, Hill, M, Johnston, D R, Keene, E L, Mahaffy, S D, McGuire, T L, McPherson, L, Meyer, C, Michaud, R, Miliou, A, Orbach, D N, Pearson, H C, Rasmussen, M H, Rayment, W J, Rinaldi, C, Rinaldi, R, Siciliano, S, Stack, S, Tintore, B, Torres, L G, Towers, J R, Trotter, C, Tyson Moore, R, Weir, C R, Wellard, R, Wells, R, Yano, K M, Zaeschmar, J R & Bejder, L 2023, 'A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species', Methods in Ecology and Evolution, vol. 14, no. 10, pp. 2611-2625. https://doi.org/10.1111/2041-210X.14167