电子科技2026，Vol.39Issue(10)：1-9,9.DOI:10.16180/j.cnki.issn1007-7820.2026.10.001
深度学习在鸟类检测中的应用研究
Research on the Application of Deep Learning in Bird Detection
摘要
Abstract
With the rapid development of society and economy,the ecological environment is facing severe challenges,and many bird species are under threat to their survival.To protect the species diversity of birds and prevent conflicts between bird activities and humans,it is quite important to accurately detect birds and formulate corresponding measures.The traditional manual methods for detecting birds are relatively inefficient.Deep learning technology can automatically detect birds,significantly improving the detection efficiency.For mainstream real-time object detection models,this study summarizes the improvement strategies of bird detection algorithms in re-cent years,introduces bird datasets and evaluates their quality,and looks forward to the future development direc-tion of this field.While improving the real-time performance and accuracy of bird detection,high-quality bird data-sets are established to promote the application of deep learning technology.关键词
鸟类检测/鸟类识别/鸟类数据集/目标检测/深度学习/机器视觉Key words
bird detection/bird recognition/bird dataset/object detection/deep learning/machine vision分类
信息技术与安全科学引用本文复制引用
李军,葛明亮,裴峻鹏,汪有崧,王伟..深度学习在鸟类检测中的应用研究[J].电子科技,2026,39(10):1-9,9.基金项目
应用基础研究重点项目(22AH0401) Key Projects of Applied Basic Research(22AH0401) （22AH0401）
