GC3558: An open-source annotated dataset of Ghana currency images for classification modeling.

Adu, Kwabena; Mensah, Patrick Kwabena; Ayidzoe, Mighty Abra; Appiah, Obed; Quayson, Ebenezer; Ninfaakang, Christopher Bombie; Opoku, Michael

Adu, Kwabena; Mensah, Patrick Kwabena; Ayidzoe, Mighty Abra; Appiah, Obed; Quayson, Ebenezer; Ninfaakang, Christopher Bombie; Opoku, Michael.

Afiliación

Adu K; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.
Mensah PK; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.
Ayidzoe MA; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.
Appiah O; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.
Quayson E; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.
Ninfaakang CB; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.
Opoku M; Department of Computer Science and Informatics, University of Energy and Natural Resources, Sunyani, Ghana.

Data Brief ; 45: 108616, 2022 Dec.

Article en En | MEDLINE | ID: mdl-36164293

Palabras clave

Banknote recognition; Classification; Currency detection; Dataset; Deep learning

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2022 Tipo del documento: Article País de afiliación: Ghana