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Complex Tunnel Crack Dataset (CTCD)
292 tunnel lining images (256 × 256) with pixel-level crack masks, collected from 52 highway tunnels in Yunnan and Zhejiang, China, using a high-speed tunnel inspection vehicle. Crack pixels were manually annotated in Photoshop with a 1–2 px brush sized by crack width.
This dataset was introduced in the CraSAM paper (Structural Control and Health Monitoring, 2025), where it is used to evaluate cross-scenario generalization of foundation-model-based crack segmentation.
📄 Paper: https://doi.org/10.1155/stc/6269747
Usage
from datasets import load_dataset
ds = load_dataset("shiweiluo99/tunnel-crack-segmentation-dataset")
License
CC-BY-4.0. Images and annotations by the authors.
Citation
@article{luo2025crasam,
title = {Multiscenario Generalization Crack Detection Network Based on the Visual Foundation Model},
author = {Luo, Shiwei and Xie, Xiongyao and Zhou, Biao and Zeng, Kun and Guo, Jun},
journal = {Structural Control and Health Monitoring},
volume = {2025},
number = {1},
pages = {6269747},
year = {2025},
doi = {10.1155/stc/6269747}
}
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