The Problem of Images’ Classification: Neural Networks

Assoc. Prof. Larisa Zelenina, Assoc. Prof. Liudmila Khaimina,
Evgenii Khaimin, D. Khripunov, Assoc. Prof. Inga Zashikhina
Northern (Arctic) Federal University named after M.V. Lomonosova (Russia)

https://doi.org/10.53656/math2021-3-4-the

Abstract. The article discusses the employment of an artificial neural network for the problem of image classification. Based on the compiled dataset, a convolutional neural network model was implemented and trained. An application for images classification was created. The practical value of the developed application allows an efficient use of a smartphone camera’s storage facilities. The article presents a detailed methodology of the application’s development.
Keywords: image classification; convolutional neural network; Python programming language libraries; graphical user interface (GUI)

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