Recognition of feline images based on deep learning
Zhuchang Gu · Applied and Computational Engineering · 2023
As the study of felines continues, image recognition technology is helping researchers identify species more and more. However, the research on cat image recognition based on deep learning is not deep enough in the past, which leads to the low efficiency of researchers and the inability to achieve the purpose of accurate recognition. According to researchers, there are more than 500 million pet cats in the world, of about 40 breeds. Predictably, the popularity of cats has led to an increasing amount of research on cats. On the basis of the existing background, this paper uses the deep learning network based on the PyTorch framework to study this topic and conducts in-depth exploration which finally has high efficiency and accuracy. It is hoped that this study can improve the research efficiency of related researchers.