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Dataset of vehicle images for Indonesia toll road tariff classification
Vehicle classifications with different methods have been applied for many purposes. The data provided in this article is useful for classifying vehicle purposes following the Indonesia toll road tariffs. Indonesia toll road tariff regulations divide vehicles into five groups as follows, group-1, gro...
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/PMC7394761/ https://www.ncbi.nlm.nih.gov/pubmed/32775573 http://dx.doi.org/10.1016/j.dib.2020.106061 |
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author | Sasongko, Ananto Tri Jati, Grafika Fanany, Mohamad Ivan Jatmiko, Wisnu |
author_facet | Sasongko, Ananto Tri Jati, Grafika Fanany, Mohamad Ivan Jatmiko, Wisnu |
author_sort | Sasongko, Ananto Tri |
collection | PubMed |
description | Vehicle classifications with different methods have been applied for many purposes. The data provided in this article is useful for classifying vehicle purposes following the Indonesia toll road tariffs. Indonesia toll road tariff regulations divide vehicles into five groups as follows, group-1, group-2, group-3, group-4, and group-5, respectively. Group-1 is a class of non-truck vehicles, while group-2 to group-5 are classes of truck vehicles. The non-truck class consists of the sedan, pick-up, minibus, bus, MPV, and SUV. Truck classes are grouped based on the number of truck's axles. Group-2 is a class of trucks with two axles, a group-3 truck with three axles, a group-4 truck with four axles, and a group-5 truck with five axles or more. The dataset is categorized into five classes accordingly, which are group-1, group-2, group-3, group-4, and group-5 images. The data made available in this article observes images of vehicles obtained using a smartphone camera. The vehicle images dataset incorporated with deep learning, transfer learning, fine-tuning, and the Residual Neural Network (ResNet) model can yield exceptional results in the classification of vehicles by the number of axles. |
format | Online Article Text |
id | pubmed-7394761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73947612020-08-06 Dataset of vehicle images for Indonesia toll road tariff classification Sasongko, Ananto Tri Jati, Grafika Fanany, Mohamad Ivan Jatmiko, Wisnu Data Brief Computer Science Vehicle classifications with different methods have been applied for many purposes. The data provided in this article is useful for classifying vehicle purposes following the Indonesia toll road tariffs. Indonesia toll road tariff regulations divide vehicles into five groups as follows, group-1, group-2, group-3, group-4, and group-5, respectively. Group-1 is a class of non-truck vehicles, while group-2 to group-5 are classes of truck vehicles. The non-truck class consists of the sedan, pick-up, minibus, bus, MPV, and SUV. Truck classes are grouped based on the number of truck's axles. Group-2 is a class of trucks with two axles, a group-3 truck with three axles, a group-4 truck with four axles, and a group-5 truck with five axles or more. The dataset is categorized into five classes accordingly, which are group-1, group-2, group-3, group-4, and group-5 images. The data made available in this article observes images of vehicles obtained using a smartphone camera. The vehicle images dataset incorporated with deep learning, transfer learning, fine-tuning, and the Residual Neural Network (ResNet) model can yield exceptional results in the classification of vehicles by the number of axles. Elsevier 2020-07-23 /pmc/articles/PMC7394761/ /pubmed/32775573 http://dx.doi.org/10.1016/j.dib.2020.106061 Text en © 2020 The Author(s) 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 | Computer Science Sasongko, Ananto Tri Jati, Grafika Fanany, Mohamad Ivan Jatmiko, Wisnu Dataset of vehicle images for Indonesia toll road tariff classification |
title | Dataset of vehicle images for Indonesia toll road tariff classification |
title_full | Dataset of vehicle images for Indonesia toll road tariff classification |
title_fullStr | Dataset of vehicle images for Indonesia toll road tariff classification |
title_full_unstemmed | Dataset of vehicle images for Indonesia toll road tariff classification |
title_short | Dataset of vehicle images for Indonesia toll road tariff classification |
title_sort | dataset of vehicle images for indonesia toll road tariff classification |
topic | Computer Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394761/ https://www.ncbi.nlm.nih.gov/pubmed/32775573 http://dx.doi.org/10.1016/j.dib.2020.106061 |
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