Advances in deep learning-driven photo identification and meta analysis of cetaceans in large data repositories

Photo-identification of cetaceans remains a labor-intensive task, requiring expert annotation of long-tailed image datasets in which most individuals are rarely encountered. We present a scalable, end-to-end framework that automates this process using lightweight deep learning models optimized for r...

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Bibliographic Details

Published in:	Ecological informatics Vol. 91; p. 103396
Main Authors:	Barnhill, Alexander, Towers, Jared R., Shaw, Tasli J.H., Arias, Magdalena, Bécares, Adrián, Doniol-Valcroze, Thomas, von Fersen, Lorenzo, Genoves, Rodrigo, Rörup, Tim, Sutton, Gary J., Thornton, Sheila, Weiss, Michael, Maier, Andreas, Nöth, Elmar, Bergler, Christian
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2025 Elsevier
Subjects:	Data curation Deep learning Marine conservation Photo identification Resource efficient machine learning Deep learning Data curation Photo identification Resource efficient machine learning Marine conservation
ISSN:	1574-9541
Online Access:	Get full text
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