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We have developed a system that captures images of goldfish and uses YOLOv5 to obtain coordinates, storing their movements as data. By analyzing whether these movements fall below a threshold, the system can determine the presence of diseases. We conducted goldfish disease detection using this method. This paper describes goldfish, the background and necessity of the proposed method, its details, and evaluation.

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An Efficient YOLO-Based Approach for Goldfish Disease Diagnosis

  • 会议论文

  • 发表日期：

    2026年

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  • Yugo Ohashi,
  • Miho Akiyama,
  • Takuya Saito

摘要

We have developed a system that captures images of goldfish and uses YOLOv5 to obtain coordinates, storing their movements as data. By analyzing whether these movements fall below a threshold, the system can determine the presence of diseases. We conducted goldfish disease detection using this method. This paper describes goldfish, the background and necessity of the proposed method, its details, and evaluation.