Datasets › CFD
CFD (CrackForestDataset)
CrackForest Dataset is an annotated road crack image database which can reflect urban road surface condition in general.
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} }
2.License.
The dataset is made available for non-commercial research purposes only.
3.History.
Version 1.0 (2015/09/29)
initial version
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- CFD
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections