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Artificial Mercosur license plates dataset
Mercosur (a.k.a. Mercosul) is a trade bloc comprising five South American countries. In 2018, a unified Mercosur license plate model was rolled out. Access to large volumes of ground truth Mercosur license plates with sufficient presentation variety is a significant challenge for training supervised...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736924/ https://www.ncbi.nlm.nih.gov/pubmed/33344736 http://dx.doi.org/10.1016/j.dib.2020.106554 |
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author | Silvano, Gilles Velleneuve Trindade Silva, Ivanovitch Ribeiro, Vinícius Campos Tinoco Greati, Vitor Rodrigues Bezerra, Aguinaldo Endo, Patrícia Takako Lynn, Theo |
author_facet | Silvano, Gilles Velleneuve Trindade Silva, Ivanovitch Ribeiro, Vinícius Campos Tinoco Greati, Vitor Rodrigues Bezerra, Aguinaldo Endo, Patrícia Takako Lynn, Theo |
author_sort | Silvano, Gilles Velleneuve Trindade |
collection | PubMed |
description | Mercosur (a.k.a. Mercosul) is a trade bloc comprising five South American countries. In 2018, a unified Mercosur license plate model was rolled out. Access to large volumes of ground truth Mercosur license plates with sufficient presentation variety is a significant challenge for training supervised models for license plate detection (LPD) in automatic license plate recognition (ALPR) systems. To address this problem, a Mercosur license plate generator was developed to generate artificial license plate images meeting the new standard with sufficient variety for ALPR training purposes. This includes images with variation due to occlusions and environmental conditions. An embedded system was developed for detecting legacy license plates in images of real scenarios and overwriting these with artificially generated Mercosur license plates. This data set comprises 3,829 images of vehicles with synthetic license plates that meet the new Mercosur standard in real scenarios, and equivalent number of text files containing label information for the images, all organized in a CSV file with compiled image file paths and associated labels. |
format | Online Article Text |
id | pubmed-7736924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77369242020-12-18 Artificial Mercosur license plates dataset Silvano, Gilles Velleneuve Trindade Silva, Ivanovitch Ribeiro, Vinícius Campos Tinoco Greati, Vitor Rodrigues Bezerra, Aguinaldo Endo, Patrícia Takako Lynn, Theo Data Brief Data Article Mercosur (a.k.a. Mercosul) is a trade bloc comprising five South American countries. In 2018, a unified Mercosur license plate model was rolled out. Access to large volumes of ground truth Mercosur license plates with sufficient presentation variety is a significant challenge for training supervised models for license plate detection (LPD) in automatic license plate recognition (ALPR) systems. To address this problem, a Mercosur license plate generator was developed to generate artificial license plate images meeting the new standard with sufficient variety for ALPR training purposes. This includes images with variation due to occlusions and environmental conditions. An embedded system was developed for detecting legacy license plates in images of real scenarios and overwriting these with artificially generated Mercosur license plates. This data set comprises 3,829 images of vehicles with synthetic license plates that meet the new Mercosur standard in real scenarios, and equivalent number of text files containing label information for the images, all organized in a CSV file with compiled image file paths and associated labels. Elsevier 2020-12-05 /pmc/articles/PMC7736924/ /pubmed/33344736 http://dx.doi.org/10.1016/j.dib.2020.106554 Text en © 2020 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Silvano, Gilles Velleneuve Trindade Silva, Ivanovitch Ribeiro, Vinícius Campos Tinoco Greati, Vitor Rodrigues Bezerra, Aguinaldo Endo, Patrícia Takako Lynn, Theo Artificial Mercosur license plates dataset |
title | Artificial Mercosur license plates dataset |
title_full | Artificial Mercosur license plates dataset |
title_fullStr | Artificial Mercosur license plates dataset |
title_full_unstemmed | Artificial Mercosur license plates dataset |
title_short | Artificial Mercosur license plates dataset |
title_sort | artificial mercosur license plates dataset |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736924/ https://www.ncbi.nlm.nih.gov/pubmed/33344736 http://dx.doi.org/10.1016/j.dib.2020.106554 |
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