2022
DOI: 10.17762/ijritcc.v10i4.5524
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A Study on Fish Classification Techniques using Convolutional Neural Networks on Highly Challenged Underwater Images

Abstract: Underwater Fish Species Recognition (UFSR) has attained significance because of evolving research in underwater life. Manual techniques to distinguish fish can be tricky and tedious. They might require enormous inspecting endeavours, but they can be costly. It results in limited data and a lack of human resources, which may cause incorrect object identification. Automating the fish species detection and recognition utilizing technology would assist sea life science to evolve further. UFSR in wild natural habit… Show more

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Cited by 3 publications
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