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Author/Affiliation: Witsarut SriratanaOpen AccessArticle
8 Pages, 5,492 KB 
Landmarking Technique for Improving YOLOv4 Fish Recognition in Various Background Conditions
Abstract:
The detection and classification of fish is a prevalent and fascinating area of study. Numerous researchers develop skills in fish recognition in both aquatic and non-aquatic environments, which is beneficial for population control and the aquaculture industry, respectively. Rarely is research conducted to optimize the recognition of fish with diverse backgrounds. This paper proposes a…
Read More(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Fisheries (FSH))