DATA AUGMENTATION METHOD USING GENERATIVE ADVERSARIAL NETWORKS

Oleksandr Chaikovskyi; Artem Volokyta; Artemi Kyrianov; Heorhii Loutskii

doi:10.25140/2411-5363-2021-2(24)-83-91

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JOURNAL ARTICLE

DATA AUGMENTATION METHOD USING GENERATIVE ADVERSARIAL NETWORKS

Oleksandr Chaikovskyi Artem Volokyta Artemi Kyrianov Heorhii Loutskii

Year: 2021 Journal: TECHNICAL SCIENCES AND TECHNOLOGIES Pages: 83-91

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

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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.

Keywords:

Adversarial system Generative grammar Computer science Generative adversarial network Image (mathematics) Convolutional neural network Artificial intelligence Pattern recognition (psychology) Machine learning

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Engineering Technology and Methodologies

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Industrial Engineering and Technologies

Physical Sciences → Engineering → Mechanical Engineering

Advanced Data Processing Techniques

Physical Sciences → Engineering → Control and Systems Engineering

DATA AUGMENTATION METHOD USING GENERATIVE ADVERSARIAL NETWORKS

Abstract

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