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YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment (2022)
Journal Article
Muksit, A. A., Hasan, F., Hasan Bhuiyan Emon, M. F., Haque, M. R., Anwary, A. R., & Shatabda, S. (2022). YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment. Ecological Informatics, 72, Article 101847. https://doi.org/10.1016/j.ecoinf.2022.101847

Over the last few years, several research works have been performed to monitor fish in the underwater environment aimed for marine research, understanding ocean geography, and primarily for sustainable fisheries. Automating fish identification is ver... Read More about YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment.