README.md

metadata

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}
}