A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

Identifying and counting fish individuals on photos and videos is a crucial task to cost-effectively monitor marine biodiversity, yet it remains difficult and time-consuming. In this paper, we present a method to assist the identification of fish species on underwater images, and we compare our mode...

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Bibliographic Details
Published in:	Ecological informatics Vol. 48; pp. 238 - 244
Main Authors:	Villon, Sébastien, Mouillot, David, Chaumont, Marc, Darling, Emily S., Subsol, Gérard, Claverie, Thomas, Villéger, Sébastien
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2018 Elsevier
Subjects:	Artificial Intelligence Automated identification biodiversity Biodiversity and Ecology Computer Science Computer Vision and Pattern Recognition Convolutional neural network coral reefs corals Environmental Sciences fish humans Image Processing Machine Learning Marine fishes monitoring Neural and Evolutionary Computing protocols species identification Underwater pictures Automated identification Marine fishes Underwater pictures Convolutional neural network Machine learning Underwater images
ISSN:	1574-9541
Online Access:	Get full text
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