Classification of dog breeds using convolutional neural network models and support vector machine
Ying Cui, Bixia Tang, Gangao Wu, Lun Li, Xin Zhang, Zhenglin Du, Wenming Zhao
This study improves dog breed classification accuracy using a combination of CNN features, PCA, GWO, and SVM, achieving 95.24% and 99.34% accuracy for 120 and 76 breeds respectively.
Bioengineering · Nov 17, 2024Peer-reviewedBioinformatics