The VERI-Wild dataset was captured from a large CCTV surveillance system over a month (30×24h) consisting of 174 cameras distributed in a large urban area of more than 200 square kilometers. After data cleaning and annotation, the dataset contains 416,314 vehicle photos of 40,671 vehicles. The differentiation of this dataset is reflected in the lighting and weather changes caused by the time span, and can be used for research in areas such as object detection.

Citation

@inproceedings{lou2019large,
title={VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild},
author={Lou, Yihang and Bai, Yan and Liu, Jun and Wang, Shiqi and Duan, Ling-Yu},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages = {3235--3243},
year={2019}
}