基于人工智能下的野生动物识别研究与应用

Research and application of wild animal recognition under artificial intelligence

作为生态系统的核心元素之一,野生动植物资源的重要性不容忽视。为了有效地保护这些生物多样性,需要对其进行精确的监测与识别。随着目标探测技术的发展,为野生动物的检测识别研究提供了很大的帮助。文章选取了自然保护区内的一些野生动物照片作为主要研究样本,提出了一种改良版的YOLOv3算法,并在其基础上做了进一步优化。

As one of the core elements of the ecosystem,the importance of wildlife resources cannot be ignored.In order to effectively protect these biodiversity,it is necessary to accurately monitor and identify them.With the development of target detection technology,it has brought great impetus to our research on wildlife.In this paper,some photos of wild animals in the nature reserve are selected as the main research samples,and an improved version of YOLOv3 algorithm is proposed and further optimized on the basis of it.