FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales.

ABSTRACT: Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg's killer whales have been photo-identified along the west coast of North America, resulting in one of the largest and longest-running cetacean photo-identification datasets. However, data maintenance and analysis are extremely time and resource consuming. This study transfers the procedure of killer whale image identification into a fully automated, multi-stage, deep learning framework, entitled FIN-PRINT. It is composed of multiple sequentially ordered sub-components. FIN-PRINT is trained and evaluated on a dataset collected over an 8-year period (2011-2018) in the coastal waters off western North America, including 121,000 human-

SUBMITTER: Bergler C 

PROVIDER: S-EPMC8648837 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature