2022
DOI: 10.1016/j.dib.2022.108616
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GC3558: An open-source annotated dataset of Ghana currency images for classification modeling

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Cited by 6 publications
(5 citation statements)
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“…Several deep learning and machine learning algorithms are employed for classification and recognition of coins [ [4] , [5] ]. To avoid substantial societal loss and damages identification of fake coins is a crucial task [ [6] , [7] ]. As per [ [6] , [8] , [9] ] dataset plays an important role for machine learning algorithms to perform well, also dataset of Indian coins is important aid for historical and numismatics study [ 10 ].…”
Section: Data Descriptionmentioning
confidence: 99%
“…Several deep learning and machine learning algorithms are employed for classification and recognition of coins [ [4] , [5] ]. To avoid substantial societal loss and damages identification of fake coins is a crucial task [ [6] , [7] ]. As per [ [6] , [8] , [9] ] dataset plays an important role for machine learning algorithms to perform well, also dataset of Indian coins is important aid for historical and numismatics study [ 10 ].…”
Section: Data Descriptionmentioning
confidence: 99%
“…The work in [402] introduces GC3558, an open-source annotated dataset of Ghana currency images for classification modeling.…”
Section: Côte D'ivoirementioning
confidence: 99%
“…While several currency datasets are currently available, there is a scarcity of specific datasets focusing on spoilt banknotes for experimentation by researchers [ [4] , [5] , [11] ]. To address this gap, the primary objective of this study is to create a comprehensive dataset of spoilt banknotes.…”
Section: Objectivementioning
confidence: 99%