DATA AUGMENTATION METHOD USING GENERATIVE ADVERSARIAL NETWORKS

Autor: Oleksandr Chaikovskyi, Artem Volokyta, Artemi Kyrianov, Heorhii Loutskii
Rok vydání: 2021
Zdroj: TECHNICAL SCIENCES AND TECHNOLOGIES. :83-91
ISSN: 2519-4569
2411-5363
Popis: 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.
Databáze: OpenAIRE