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DATA AUGMENTATION METHOD USING GENERATIVE ADVERSARIAL NETWORKS

Oleksandr Chaikovskyi,A. Volokyta,Artemi Kyrianov,H. Loutskii

2021 · DOI: 10.25140/2411-5363-2021-2(24)-83-91
2 Citations

TLDR

A data augmentation method based on generative adversarial networks to improve the accuracy of image classification by convolutional neural networks and compared with classical image augmentation methods was performed.

Abstract

The article discusses a data augmentation method based on generative adversarial networks to improve the accuracy of image classification by convolutional neural networks. A comparative analysis of the proposed method with classical image augmentation methods was performed.