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