HFUT VCC Vehicle Logo Dataset
The HFUT-CarLogo dataset contains 32000 car logo images, which came from on-road real time surveillance systems. Two different parts are included, HFUT-VL1 and HFUT-VL2.
For HFUT-VL1, all car logo images are obtained through accurate location of the logo, which are used for evaluation of classification algorithms. In HFUT-VL1, 80 categories of logo images are included with size of 64*64, and each category has 200 images.
For HFUT-VL2, all car logo images are obtained through a coarse location scheme, with the accurate location of car logos annotated by XML, which can be used both for evaluation of car logo classification and location algorithms. In HFUT-VL2, 80 categories of logo images are included with size of 64*96, and each category has 200 images.
If you would like to use the dataset, please cite the following paper:
@article{YU2018273,
title = "Vehicle logo recognition based on overlapping enhanced patterns of oriented edge magnitudes",
journal = "Computers & Electrical Engineering",
volume = "71",
pages = "273 - 283",
year = "2018",
issn = "0045-7906",
doi = "https://doi.org/10.1016/j.compeleceng.2018.07.045",
url = "http://www.sciencedirect.com/science/article/pii/S0045790618307018",
author = "Ye Yu and Jun Wang and Jingting Lu and Yang Xie and Zhenxing Nie",
keywords = "Vehicle logo recognition, Patterns of oriented edge magnitudes (POEM), Vehicle logo dataset, Intelligent transportation systems, Local feature"}