A lightweight underwater fish image semantic segmentation model based on U‐Net

Abstract Semantic segmentation of underwater fish images is vital for monitoring fish stocks, assessing marine resources, and sustaining fisheries. To tackle challenges such as low segmentation accuracy, inadequate real‐time performance, and imprecise location segmentation in current methods, a nove...

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Bibliographic Details

Published in:	IET Image Processing
Main Authors:	Zhenkai Zhang, Wanghua Li, Boon‐Chong Seet
Format:	Article
Language:	English
Published:	Wiley 2024-10-01
Subjects:	computer vision convolutional neural nets image segmentation oceanographic techniques
Online Access:	https://doi.org/10.1049/ipr2.13161