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)
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)