license:apache-2.0 size_categories:1K<n<10K format:imagefolder modality:image modality:text library:datasets library:mlcroissant region:us
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license: apache-2.0
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# CDSet-3434: Open Source Crosswalk DataSet for Zebra Crossing Detection

The CDSet-3434 dataset is a collection of crosswalk (zebra crossing) images collected on vehicle-mounted cameras, used to study advanced neural network algorithms for crosswalk detection and analysis of car crossing behavior.

<div style="text-align:center">
    <img src=https://note.ihep.ac.cn/uploads/943ec344-3fb5-4444-b8f6-87b95b9e25f9.png width=75%>
</img></div>

The dataset contains 3434 images, including real scenes such as daytime, rainy days, occlusion, deformation, truncation, night, damaged, dazzling, etc. The targets includes two categories: crosswalk and guide arrows. The dataset is divided into 3080 training sets and 354 test sets. In addition, this dataset also provides additional 1770 images labeled with or without crosswalk for testing.

## Download the CDSet-3434:

+ Zenodo: [![DOI](https://www.zenodo.org/badge/DOI/10.5281/zenodo.8289874.svg)](https://doi.org/10.5281/zenodo.8289874)

+ Baidu yun: [https://pan.baidu.com/s/1KCOQc0Qq9HVSYLc7v2Rigw](https://pan.baidu.com/s/1KCOQc0Qq9HVSYLc7v2Rigw), extract code：343e 


## Thanks for the citation：

```
@article{zhang2022cdnet,
  title={CDNet: A real-time and robust crosswalk detection network on Jetson nano based on YOLOv5},
  author={Zhang, Zheng-De and Tan, Meng-Lu and Lan, Zhi-Cai and Liu, Hai-Chun and Pei, Ling and Yu, Wen-Xian},
  journal={Neural Computing and Applications},
  volume={34},
  number={13},
  pages={10719--10730},
  year={2022},
  publisher={Springer}
}
```

+ Read the paper online：[CDNet](https://rdcu.be/cHuc8)
+ Donwload the paper   ：[10.1007/s00521-022-07007-9](https://doi.org/10.1007/s00521-022-07007-9)
+ Open sourced codes   ：[github.com/zhangzhengde0225/CDNet](https://github.com/zhangzhengde0225/CDNet)
+ Demo                 ：[bilibili: 【CDNet】](https://www.bilibili.com/video/BV1qf4y1B7BA/?share_source=copy_web&vd_source=b09d782dad758b9bf91ff69c1397c76e)
