Generative adversarial networks for anonymous acneic face dataset generation

It is well known that the performance of any classification model is effective if the dataset used for the training process and the test process satisfy some specific requirements. In other words, the more the dataset size is large, balanced, and representative, the more one can trust the proposed m...

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Bibliographic Details
Published inPloS one Vol. 19; no. 4; p. e0297958
Main Authors Hazem Zein, Samer Chantaf, Régis Fournier, Amine Nait-Ali
Format Journal Article
LanguageEnglish
Published Public Library of Science (PLoS) 01.01.2024
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