KZ-BD: Dataset of Kazakhstan banknotes with annotations

The field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like variation within the same class of currency and in...

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Main Authors: Ualikhan Sadyk, Rashid Baimukashev, Akgul Bozshina, Cemil Turan
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340924000490
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author Ualikhan Sadyk
Rashid Baimukashev
Akgul Bozshina
Cemil Turan
author_facet Ualikhan Sadyk
Rashid Baimukashev
Akgul Bozshina
Cemil Turan
author_sort Ualikhan Sadyk
collection DOAJ
description The field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like variation within the same class of currency and inconsistent lighting conditions. One notable problem is the lack of available data for Kazakhstan's currency. This research paper introduces the Kazakhstan Banknotes Dataset (KZ-BD), which is a unique collection of 4200 carefully annotated images covering 14 different categories. The dataset includes high-resolution images of authentic Kazakhstan Tenge in both coin and paper note forms, ranging from 1 to 20,000 tenge denominations. Each image has undergone strict de-identification and validation procedures, and the dataset is openly accessible to artificial intelligence researchers. This contribution addresses the data gap in deep learning research related to currency identification by offering a comprehensive dataset for Kazakhstan's currency, enabling better evaluation and fine-tuning of machine learning models with real-world data.
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spelling doaj.art-8de244d1afd64f4aaa7265f303505bac2024-03-20T06:09:36ZengElsevierData in Brief2352-34092024-04-0153110076KZ-BD: Dataset of Kazakhstan banknotes with annotationsUalikhan Sadyk0Rashid Baimukashev1Akgul Bozshina2Cemil Turan3Corresponding authors.; SDU University, Kaskelen, KazakhstanCorresponding authors.; SDU University, Kaskelen, KazakhstanSDU University, Kaskelen, KazakhstanSDU University, Kaskelen, KazakhstanThe field of deep learning is rapidly advancing and impacting various industries, including banking. However, there are still challenges when it comes to accurately identifying the denomination of currencies, especially when dealing with issues like variation within the same class of currency and inconsistent lighting conditions. One notable problem is the lack of available data for Kazakhstan's currency. This research paper introduces the Kazakhstan Banknotes Dataset (KZ-BD), which is a unique collection of 4200 carefully annotated images covering 14 different categories. The dataset includes high-resolution images of authentic Kazakhstan Tenge in both coin and paper note forms, ranging from 1 to 20,000 tenge denominations. Each image has undergone strict de-identification and validation procedures, and the dataset is openly accessible to artificial intelligence researchers. This contribution addresses the data gap in deep learning research related to currency identification by offering a comprehensive dataset for Kazakhstan's currency, enabling better evaluation and fine-tuning of machine learning models with real-world data.http://www.sciencedirect.com/science/article/pii/S2352340924000490Central Asian currencyBanknote recognitionCurrency detectionMachine learning
spellingShingle Ualikhan Sadyk
Rashid Baimukashev
Akgul Bozshina
Cemil Turan
KZ-BD: Dataset of Kazakhstan banknotes with annotations
Data in Brief
Central Asian currency
Banknote recognition
Currency detection
Machine learning
title KZ-BD: Dataset of Kazakhstan banknotes with annotations
title_full KZ-BD: Dataset of Kazakhstan banknotes with annotations
title_fullStr KZ-BD: Dataset of Kazakhstan banknotes with annotations
title_full_unstemmed KZ-BD: Dataset of Kazakhstan banknotes with annotations
title_short KZ-BD: Dataset of Kazakhstan banknotes with annotations
title_sort kz bd dataset of kazakhstan banknotes with annotations
topic Central Asian currency
Banknote recognition
Currency detection
Machine learning
url http://www.sciencedirect.com/science/article/pii/S2352340924000490
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AT rashidbaimukashev kzbddatasetofkazakhstanbanknoteswithannotations
AT akgulbozshina kzbddatasetofkazakhstanbanknoteswithannotations
AT cemilturan kzbddatasetofkazakhstanbanknoteswithannotations