Bilgisayar Mühendisliği Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1940

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Institution Author: search.filters.institutionAuthor.Gökberk, BerkSubject: search.filters.subject.Deep Neural Networks

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  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Turcoins: Turkish Republic Coin Dataset
    (IEEE, 2021) Gökberk, Berk; Gökberk, Berk; Temiz, Hüseyin; 02.02. Department of Computer Engineering; 02. Faculty of Engineering; 01. MEF University
    In this paper, we present a novel and comprehensive dataset which contains Turkish Republic coins minted since 1924 and present a deep learning based system that can automatically classify coins. The proposed dataset consists of 11080 coin images from 138 different classes. To classify coins, we utilize a pre-trained neural network (ResNet50) which is pre-trained on ImageNet. We train the pre-trained neural networks on our dataset by transfer learning. The imbalanced nature of the dataset causes the classifier to show lower performance in classes with fewer samples. To alleviate the imbalance problem, we propose a StyleGAN2-based augmentation method providing realisticfake coins for rare classes. The dataset will be published in http://turcoins.