Transferable Deep Learning Model for the Identification of Fish Species for Various Fishing Grounds

Transferable Deep Learning Model for the Identification of Fish Species for Various Fishing Grounds

The digitization of catch information for the promotion of sustainable fisheries is gaining momentum globally. However, the manual measurement of fundamental catch information, such as species identification, length measurement, and fish count, is highly inconvenient, thus intensifying the call for...

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Bibliographic Details
Main Authors:	Tatsuhito Hasegawa, Kei Kondo, Hiroshi Senou
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Journal of Marine Science and Engineering
Subjects:	fish identification deep learning neural network transfer learning
Online Access:	https://www.mdpi.com/2077-1312/12/3/415

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