基于YOLOv11n的改进铁路工人安全穿戴检测模型
武晓春,李梓宁

Improved railway worker safety wear detection model based on YOLOv11n
Xiaochun WU,Zining LI
表 4 不同类型卷积的性能对比
Tab.4 Performance comparison of different types of convolution
方法P/%R/%mAP50/
%
mAP50:95/
%
FLOPs/109Np/106
基线模型94.490.394.865.46.32.58
DSConv94.489.394.865.34.31.99
DWConv94.089.994.965.54.11.92
GhostConv95.690.495.166.34.82.25
ODConv95.889.695.366.49.54.60
GSConv95.989.995.366.54.82.25