中文版 | English
Title

Rain Rendering and Construction of Rain Vehicle Color-24 Dataset

Author
Corresponding AuthorHu, Mingdi; Jing, Bingyi
Publication Years
2022-09-01
DOI
Source Title
EISSN
2227-7390
Volume10Issue:17
Abstract
The fine identification of vehicle color can assist in criminal investigation or intelligent traffic management law enforcement. Since almost all vehicle-color datasets that are used to train models are collected in good weather, the existing vehicle-color recognition algorithms typically show poor performance for outdoor visual tasks. In this paper we construct a new Rain Vehicle Color-24 dataset by rain-image rendering using PS technology and a SyRaGAN algorithm based on the Vehicle Color-24 dataset. The dataset contains a total of 40,300 rain images with 125 different rain patterns, which can be used to train deep neural networks for specific vehicle-color recognition tasks. Experiments show that the vehicle-color recognition algorithms trained on the new dataset Rain Vehicle Color-24 improve accuracy to around 72% and 90% on rainy and sunny days, respectively. The code is available at humingdi2005@github.com.
Keywords
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Indexed By
Language
English
Important Publications
ESI Highly Cited Papers
SUSTech Authorship
Corresponding
Funding Project
National Natural Science Foundation of China[62071378] ; Shaanxi Province International Science and Technology Cooperation Program[2022KW-04] ; Xi'an Science and Technology Plan Project[21XJZZ0072]
WOS Research Area
Mathematics
WOS Subject
Mathematics
WOS Accession No
WOS:000851673900001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:10
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/401518
DepartmentDepartment of Statistics and Data Science
Affiliation
1.Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Changan West St, Xian 710121, Peoples R China
2.Southern Univ Sci & Technol, Dept Stat & Data Sci, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China
Corresponding Author AffilicationDepartment of Statistics and Data Science
Recommended Citation
GB/T 7714
Hu, Mingdi,Wang, Chenrui,Yang, Jingbing,et al. Rain Rendering and Construction of Rain Vehicle Color-24 Dataset[J]. MATHEMATICS,2022,10(17).
APA
Hu, Mingdi,Wang, Chenrui,Yang, Jingbing,Wu, Yi,Fan, Jiulun,&Jing, Bingyi.(2022).Rain Rendering and Construction of Rain Vehicle Color-24 Dataset.MATHEMATICS,10(17).
MLA
Hu, Mingdi,et al."Rain Rendering and Construction of Rain Vehicle Color-24 Dataset".MATHEMATICS 10.17(2022).
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