Application of lightweight YOLO-IoU network in urban greenery detection
The application and optimization of intelligent object detection technology based on deep learning in highway green-ing management in Guangdong Province is the main content of this article,with the aim of improving the efficiency and level of highway greening management in Guangdong Province.At present,the traditional manual inspection method has problems such as ineffective results and waste of manpower,so we need a new solution.Intelligent object detection technology based on deep learn-ing can quickly and accurately identify and locate green targets on highways,which has a positive impact on promoting the sustain-ability and development of highway green management.However,object detection technology faces challenges such as weather,lighting,and GPU resource limitations in highway greening management.To solve these problems,this paper proposes a lightweight YOLO IoU network.By optimizing data set expansion,feature extraction and Loss function.
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