使GPD-YOLOv8

Jian Xing1, Chenglong Zhan2, Jiaqiang Ma1

  • 1School of Electronic Information Technology, Northeast Forestry University, Harbin, 150040, People's Republic of China.

Scientific reports
|January 8, 2025
PubMed
概括

这项研究引入了改进的YOLOv8模型用于建筑安全检测磨损,提高了准确性和速度. 该模型确保正确使用头盔和反射服装,显著减少工作场所的风险.

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