Dog breed identification is essential for many reasons,particularly for understanding individual breeds′conditions,health concerns,interaction behavior,and natural instinct.This paper presents a solution for identify...Dog breed identification is essential for many reasons,particularly for understanding individual breeds′conditions,health concerns,interaction behavior,and natural instinct.This paper presents a solution for identifying dog breeds using their images of their faces.The proposed method applies a deep learning based approach in order to recognize their breeds.The method begins with a transfer learning by retraining existing pretrained convolutional neural networks(CNNs)on the public dog breed dataset.Then,the image augmentation with various settings is also applied on the training dataset,in order to improve the classification performance.The proposed method is evaluated using three different CNNs with various augmentation settings and comprehensive experimental comparisons.The proposed model achieves a promising accuracy of 89.92%on the published dataset with 133 dog breeds.展开更多
基金the Royal Golden Jubilee(RGJ)Ph.D.Programme under the Thailand Research Fund(No.PHD/0053/2561)。
文摘Dog breed identification is essential for many reasons,particularly for understanding individual breeds′conditions,health concerns,interaction behavior,and natural instinct.This paper presents a solution for identifying dog breeds using their images of their faces.The proposed method applies a deep learning based approach in order to recognize their breeds.The method begins with a transfer learning by retraining existing pretrained convolutional neural networks(CNNs)on the public dog breed dataset.Then,the image augmentation with various settings is also applied on the training dataset,in order to improve the classification performance.The proposed method is evaluated using three different CNNs with various augmentation settings and comprehensive experimental comparisons.The proposed model achieves a promising accuracy of 89.92%on the published dataset with 133 dog breeds.
