Publication: Knowing Your Dog Breed: Identifying a Dog Breed with Deep Learning
Issued Date
2020-01-01
Resource Type
ISSN
17518520
14768186
14768186
Other identifier(s)
2-s2.0-85095991517
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Journal of Automation and Computing. (2020)
Suggested Citation
Punyanuch Borwarnginn, Worapan Kusakunniran, Sarattha Karnjanapreechakorn, Kittikhun Thongkanchorn Knowing Your Dog Breed: Identifying a Dog Breed with Deep Learning. International Journal of Automation and Computing. (2020). doi:10.1007/s11633-020-1261-0 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/60446
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Knowing Your Dog Breed: Identifying a Dog Breed with Deep Learning
Other Contributor(s)
Abstract
© 2020, Institute of Automatinn, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature. 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 pre-trained 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.