CSUST Chinese Traffic Sign Detection Benchmark 中国交通数据集由长沙理工大学综合交通运输大数据智能处理湖南省重点实验室张建明老师团队制作完成。
我们已经将完整数据集上传至百度云盘： 链接为：https://pan.baidu.com/s/1Swb48BppUJtuE3QeCcd4Yw 提取码：rv4s
到目前为止，已经上传图像15734张，全部的groundtruth也已经上传。 声明：目前的标注数据只有三大类：指示标志、禁止标志、警告标志。
具体的细分类标准数据集，由于还在制作，暂时将不会公布，请大家关注我们的后续更新！
大家如果下载做研究实验，请尽量引用我们的文章，务必引用：
[1] Jianming Zhang, Zhipeng Xie, Juan Sun, Xin Zou, Jin Wang. A cascaded R-CNN with multiscale attention and imbalanced samples for traffic sign detection. IEEE Access, 2020, DOI: 10.1109/ACCESS.2020.2972338.
[2] Zhang J, Huang M, Jin X, et al. A Real-Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2. Algorithms, 2017, 10(4):127.
[3] Jianming Zhang, Wei Wang, Chaoquan Lu, Jin Wang, Arun Kumar Sangaiah. Lightweight deep network for traffic sign classification. Annals of Telecommunications, 2020, vol. 75, no. 7-8, pp. 369-379. DOI: 10.1007/s12243-019-00731-9.
[4] 李旭东, 张建明, 谢志鹏, 王进. 基于三尺度嵌套残差结构的交通标志快速检测算法[J]. 计算机研究与发展, 2020, 57(5): 1022-1036.
[4] Li Xudong, Zhang Jianming, Xie Zhipeng, Wang Jin. A Fast Traffic Sign Detection Algorithm Based on Three-Scale Nested Residual Structures[J]. Journal of Computer Research and Development, 2020, 57(5): 1022-1036.
本数据集命名为CCTSDB2017。 如有疑问：欢迎发送邮件：[email protected]; [email protected]
2021年我们推出了规模更大、更完善的CCTSDB2021。 https://github.com/csust7zhangjm/CCTSDB2021
Please cite the following papers:
[1] Jianming Zhang, Yaru Lv, Jiajun Tao, Fengxiang Huang, Jin Zhang. A robust real-time anchor-free traffic sign detector with one-level feature. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, vol. 8, no.2, pp. 1437-1451. DOI: 10.1109/TETCI.2024.3349464.
[2] Jianming Zhang, Xin Zou, Li-Dan Kuang, Jin Wang, R. Simon Sherratt, Xiaofeng Yu. CCTSDB 2021: A more comprehensive traffic sign detection benchmark. Human-centric Computing and Information Sciences, 2022, vol. 12, Article number: 23. DOI: 10.22967/HCIS.2022.12.023.
[3] Jianming Zhang, Zhuofan Zheng, Xianding Xie, Yan Gui, Gwang-Jun Kim. ReYOLO: A traffic sign detector based on network reparameterization and features adaptive weighting. Journal of Ambient Intelligence and Smart Environments, 2022, vol. 14, no. 4, pp. 317-334. DOI: 10.3233/AIS-220038.
[4] Jianming Zhang, Zi Ye, Xiaokang Jin, Jin Wang, Jin Zhang. Real-time traffic sign detection based on multiscale attention and spatial information aggregator, Journal of Real-Time Image Processing, 2022, DOI: 10.1007/s11554-022-01252-w.