CrackForest
2D Semantic Segmentation
Industry
|...
License: Custom

Overview

CrackForest Dataset is an annotated road crack image database which can reflect urban road surface condition in general.

Citation

Please use the following citation when referencing the dataset:

If you use this crack image dataset, we appreciate it if you cite an appropriate subset of the following papers:

@article{shi2016automatic,
 title={Automatic road crack detection using random structured forests},
 author={Shi, Yong and Cui, Limeng and Qi, Zhiquan and Meng, Fan and Chen, Zhensong},
 journal={IEEE Transactions on Intelligent Transportation Systems},
 volume={17},
 number={12},
 pages={3434--3445},
 year={2016},
 publisher={IEEE}
}

@inproceedings{cui2015pavement,
 title={Pavement Distress Detection Using Random Decision Forests},
 author={Cui, Limeng and Qi, Zhiquan and Chen, Zhensong and Meng, Fan and Shi, Yong},
 booktitle={International Conference on Data Science},
 pages={95--102},
 year={2015},
 organization={Springer}
}

License

Custom

Data Summary
Type
Image,
Amount
329
Size
--
Provided by
Limeng Cui
I am pursuing my second Ph.D. degree at College of Information Sciences and Technology, Pennsylvania State University, supervised by Prof. Dongwon Lee. I received a Ph.D. degree in Computer Applied Technology at School of Computer and Control Engineering, University of Chinese Academy Sciences in 2018, supervised by Prof. Yong Shi and Prof. Philip S. Yu. Before that, I received my Bachelor degree in Software Engineering from Beijing Institute of Technology in June, 2013.
Issue
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