Review of deep learning-based wildlife image recognition studies
The deepening of national attention to the construction of ecological civilization and the major breakthrough of computer ability provide a new opportunity for realizing more efficient and accurate wildlife image recognition.The deep learning(DL)technology based on computer vision has played a great advantage in the field of image recognition.The application of the DL algorithm to wildlife image recognition can capture more detailed and accurate wildlife information and thus better help managers identify and monitor wildlife and protect the ecological environment and species diversity.This paper started with two aspects of public datasets and field data acquisition,analyzed the research status of deep learning,and introduced the research progress of the DL algorithm in wildlife image recognition.The paper focused on the present situation of regional convolutional neural networks(R-CNNs)and YOLO algorithms,so as to provide a theoretical basis for more efficient wildlife image recognition and offer new ideas for image recognition.
deep learning(DL)convolutional neural network(CNN)wildlifeimage recognition
国家科技期刊平台
NSTL
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