Datasets:
| license: mit | |
| pretty_name: CarNet Crack Detection (Sun520, Rain365, BJN260) | |
| task_categories: | |
| - image-segmentation | |
| tags: | |
| - crack-detection | |
| - pavement | |
| - road | |
| - semantic-segmentation | |
| size_categories: | |
| - 1K<n<10K | |
| # crack | |
| ## Datasets | |
| | Folder | Images | Scenario | | |
| |--------|--------|----------| | |
| | `BJN260_full_resolution` | 260 | Night scenes (Beijing) | | |
| | `Rain365_full_resolution` | 365 | Post-rain daytime | | |
| | `Sun520_full_resolution` | 520 | Sunny daytime | | |
| Each dataset contains: | |
| - `img/` — crack photos | |
| - `gt/` — pixel-level ground-truth masks | |
| - `Composite image/` — crack + mask overlays | |
| ## Citation | |
| ``` | |
| @article{li2021fast, | |
| title={Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function}, | |
| author={Kai Li and Bo Wang and Yingjie Tian and Zhiquan Qi}, | |
| journal={IEEE Transactions on Cybernetics}, | |
| pages={1-12}, | |
| year={2021}, | |
| doi={10.1109/TCYB.2021.3103885} | |
| } | |
| ``` | |