Krs-net: a classification approach based on deep learning for koi with high similarity

HIGHLIGHTS

  • who: Youliang Zheng and collaborators from the College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, China have published the research: KRS-Net: A Classification Approach Based on Deep Learning for Koi with High Similarity, in the Journal: Biology 2022, 1727 of /2022/
  • what: The main contributions of this study are twofold: dataset was established for thirteen kinds of koi; classification problem with high similarity was designed for underwater animals and classification network was constructed based on deep learning which could solve the problem of low accuracy for some varieties that are highly similar . . .

     

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