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1 Annals of Computer Science and Information Systems

1 2022

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Canine age classification using Deep Learning as a step towards preventive medicine in animals

Mazurek Szymon, Wielgosz Maciej, Caputa Jakub, Frączek Rafał, Karwatowski Michał, Grzeszczyk Jakub, Łukasik Daria, Śmiech Anna, Russek Paweł, Jamro Ernest, Dąbrowska-Boruch Agnieszka, Pietroń Marcin, Sebastian Koryciak, Wiatr Kazimierz

Annals of Computer Science and Information Systems

2022

Vol. 30

169--172

The main goal of this work was to implement a reliable machine learning algorithm that can classify the age of a dog, given only a photograph of its face. The problem, which seems simple for humans, presents itself as very difficult for the machine learning algorithms due to differences of facial features among the dogs population. As convolutional neural networks (CNNs) performed poorly in this problem, authors took other approach of creating novel architecture consisting of combination of CNN and vision transformer (ViT) and examining the age of the dogs separately for every breed. Authors were able to achieve better results than those in initial works covering the problem.