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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Vydáno v:	Ecological informatics Ročník 48; s. 238 - 244
Hlavní autoři:	Villon, Sébastien, Mouillot, David, Chaumont, Marc, Darling, Emily S., Subsol, Gérard, Claverie, Thomas, Villéger, Sébastien
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2018 Elsevier
Témata:	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
On-line přístup:	Získat plný text
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