DATA AUGMENTATION METHOD USING GENERATIVE ADVERSARIAL NETWORKS

Oleksandr Chaikovskyi, Artem Volokyta, Artemi Kyrianov, Heorhii Loutskii
2021 TECHNICAL SCIENCES AND TECHNOLOG IES  
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.
doi:10.25140/2411-5363-2021-2(24)-83-91 fatcat:akx6ntin55h2jdyvbuf6fhbopm