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Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification

Vehicle Classification has become tremendously important due to various applications such as traffic video surveillance, accident avoidance, traffic congestion prevention, bringing intelligent transportation systems. This article presents ‘Poribohon-BD’ dataset for vehicle classification purposes in...

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Autores principales: Tabassum, Shaira, Ullah, Sabbir, Al-nur, Nakib Hossain, Shatabda, Swakkhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642820/
https://www.ncbi.nlm.nih.gov/pubmed/33195776
http://dx.doi.org/10.1016/j.dib.2020.106465
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author Tabassum, Shaira
Ullah, Sabbir
Al-nur, Nakib Hossain
Shatabda, Swakkhar
author_facet Tabassum, Shaira
Ullah, Sabbir
Al-nur, Nakib Hossain
Shatabda, Swakkhar
author_sort Tabassum, Shaira
collection PubMed
description Vehicle Classification has become tremendously important due to various applications such as traffic video surveillance, accident avoidance, traffic congestion prevention, bringing intelligent transportation systems. This article presents ‘Poribohon-BD’ dataset for vehicle classification purposes in Bangladesh. The vehicle images are collected from two sources: i) smartphone camera, ii) social media. The dataset contains 9058 labeled and annotated images of 15 native Bangladeshi vehicles such as bus, motorbike, three-wheeler rickshaw, truck, wheelbarrow. Data augmentation techniques have been applied to keep the number of images comparable to each type of vehicle. For labeling the images, LabelImg tool by Tzuta Lin has been used. Human faces have also been blurred to maintain privacy and confidentiality. The dataset is compatible with various CNN architectures such as YOLO, VGG-16, R-CNN, DPM. It is available for research purposes at https://data.mendeley.com/datasets/pwyyg8zmk5/2.
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spelling pubmed-76428202020-11-13 Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification Tabassum, Shaira Ullah, Sabbir Al-nur, Nakib Hossain Shatabda, Swakkhar Data Brief Computer Science Vehicle Classification has become tremendously important due to various applications such as traffic video surveillance, accident avoidance, traffic congestion prevention, bringing intelligent transportation systems. This article presents ‘Poribohon-BD’ dataset for vehicle classification purposes in Bangladesh. The vehicle images are collected from two sources: i) smartphone camera, ii) social media. The dataset contains 9058 labeled and annotated images of 15 native Bangladeshi vehicles such as bus, motorbike, three-wheeler rickshaw, truck, wheelbarrow. Data augmentation techniques have been applied to keep the number of images comparable to each type of vehicle. For labeling the images, LabelImg tool by Tzuta Lin has been used. Human faces have also been blurred to maintain privacy and confidentiality. The dataset is compatible with various CNN architectures such as YOLO, VGG-16, R-CNN, DPM. It is available for research purposes at https://data.mendeley.com/datasets/pwyyg8zmk5/2. Elsevier 2020-10-27 /pmc/articles/PMC7642820/ /pubmed/33195776 http://dx.doi.org/10.1016/j.dib.2020.106465 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
Tabassum, Shaira
Ullah, Sabbir
Al-nur, Nakib Hossain
Shatabda, Swakkhar
Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
title Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
title_full Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
title_fullStr Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
title_full_unstemmed Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
title_short Poribohon-BD: Bangladeshi local vehicle image dataset with annotation for classification
title_sort poribohon-bd: bangladeshi local vehicle image dataset with annotation for classification
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7642820/
https://www.ncbi.nlm.nih.gov/pubmed/33195776
http://dx.doi.org/10.1016/j.dib.2020.106465
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