Electrotechnical and Computer Engineering
Vol. 37 No. 09 (2022): Proceedings of Faculty of Technical Sciences
DETERMINING DOG AND CAT BREEDS USING DEEP LEARNING
Abstract
This paper proposes two approaches to solving the problem of determining dog and cat breeds. The first one is a one-step classification in which the breed is immediately determined. The second one represents the classification in two steps - in the first according to the species, and in the second according to the breed. Both approaches use convolutional neural networks and the second one also uses ResNet50 architecture. In both approaches, the impact of the application of active learning was examined.
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