Research on animal picture classification model based on Swin Transformer
The special environment of the plateau area brings additional challenges to image classification technology.There-fore,this paper proposes an image classification model based on Swin Transformer(Shift Window Transformer).Compared with the traditional Convolutional Neural Network(CNN)and Vision Transformer(ViT)models,10000 images were collected for training and evaluation by means of web crawlers,collection and shooting,and the final accuracy and precision of the model was 92.50%and 91.80%,respectively,which outperformed the CNN and ViT models under the same dataset.
Swin Transformeranimal imagesclassification modelimage data
万方数据
