DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM

Öz The most important requirement for deep learning algorithms to run with a low error ratio is the realization of the training process with a sufficient amount of data. Using synthetic data is one of the most common approaches when the data set is not enough for training. Synthetic data production must be based on a real dataset to improve the prediction and classification abilities of the deep learning algorithms. The enrichment of the existing dataset using different techniques such as modified copies of existing data is called data augmentation. It can sometimes be difficult to generate enough datasets according to the type of problem, especially in image classification. In such cases, a dataset can be generated by duplicating and/or modifying existing pictures of the objects. In this study, data augmentation for a learning-based vehicle make-model and license plate matching system has been performed and a new vehicle image dataset has been generated. The proposed approach which has been used in creating the dataset is presented in detail. The generated new vehicle image dataset is available to developers as open-source.

Kaynakça

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Kaynak Göster

Bibtex @araştırma makalesi { ejt826101, journal = {European Journal of Technique (EJT)}, issn = {2536-5010}, eissn = {2536-5134}, address = {INESEG Yayıncılık Dicle Üniversitesi Teknokent, Sur/Diyarbakır}, publisher = {Hibetullah KILIÇ}, year = {2020}, volume = {10}, pages = {331 - 339}, doi = {10.36222/ejt.826101}, title = {DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM}, key = {cite}, author = {Erdemir, Gökhan} }
APA Ağgül, B , Erdemir, G . (2020). DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM . European Journal of Technique (EJT) , 10 (2) , 331-339 . DOI: 10.36222/ejt.826101
MLA Ağgül, B , Erdemir, G . "DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM" . European Journal of Technique (EJT) 10 (2020 ): 331-339 <https://dergipark.org.tr/tr/pub/ejt/issue/59168/826101>
Chicago Ağgül, B , Erdemir, G . "DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM". European Journal of Technique (EJT) 10 (2020 ): 331-339
RIS TY - JOUR T1 - DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM AU - Burak Ağgül , Gökhan Erdemir Y1 - 2020 PY - 2020 N1 - doi: 10.36222/ejt.826101 DO - 10.36222/ejt.826101 T2 - European Journal of Technique (EJT) JF - Journal JO - JOR SP - 331 EP - 339 VL - 10 IS - 2 SN - 2536-5010-2536-5134 M3 - doi: 10.36222/ejt.826101 UR - https://doi.org/10.36222/ejt.826101 Y2 - 2020 ER -
EndNote %0 European Journal of Technique DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM %A Burak Ağgül , Gökhan Erdemir %T DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM %D 2020 %J European Journal of Technique (EJT) %P 2536-5010-2536-5134 %V 10 %N 2 %R doi: 10.36222/ejt.826101 %U 10.36222/ejt.826101
ISNAD Ağgül, Burak , Erdemir, Gökhan . "DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM". European Journal of Technique (EJT) 10 / 2 (Aralık 2020): 331-339 . https://doi.org/10.36222/ejt.826101
AMA Ağgül B , Erdemir G . DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM. EJT. 2020; 10(2): 331-339.
Vancouver Ağgül B , Erdemir G . DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM. European Journal of Technique (EJT). 2020; 10(2): 331-339.
IEEE B. Ağgül ve G. Erdemir , "DATA AUGMENTATION FOR A LEARNING-BASED VEHICLE MAKE-MODEL AND LICENSE PLATE MATCHING SYSTEM", European Journal of Technique (EJT), c. 10, sayı. 2, ss. 331-339, Ara. 2021, doi:10.36222/ejt.826101