YOLOv8n

Kan Luo1,2, Chuanshuai Jia3,4, Yu Chen4,5

  • 1School of electronic, Electrical engineering and Physics, Fujian University of Technology, Fuzhou, 350118, China. luokan@fjut.edu.cn.

Scientific reports
|December 30, 2025
PubMed
まとめ

本研究では、自動サトイモ加工欠陥検出のための修正YOLOv8nモデルを紹介し、高い精度と再現率で99%以上の精度を達成しています。効率的な深層学習アプローチは、産業処理の品質とリアルタイム機能を向上させます。

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