基于YOLO算法的输电线路红外图像处理分析
Analysis of Infrared Image Processing for Transmission Lines Based on YOLO Algorithm
李浩宇1
作者信息
摘要
阐述运用YOLOv5算法,通过自定义输电线路红外图像数据集、模型训练和结果分析,验证YOLOv5算法,可以实现图像中的线路和绝缘子识别.全类别平均正确率为0.84,证明优化有效.
Abstract
This paper describes the use of the YOLOv5 algorithm to validate the recognition of lines and insulators in images through custom transmission line infrared image datasets,model training,and result analysis.The average accuracy of the entire category is 0.84,proving the effectiveness of the optimization.
关键词
YOLO算法/深度识别/红外图像/目标检测Key words
YOLO algorithm/deep recognition/infrared images/target detection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据