An open-source concrete crack dataset for AI training, structural engineering research, and infrastructure monitoring — collected at The Hashemite University.
A systematic, high-quality collection of concrete crack images captured at The Hashemite University campus using a professional protocol designed for AI model training.
Far, medium, close-up from 3 angles, scale reference, 3 lighting conditions, and negative sample.
Every crack includes type, severity, width, length, surface conditions, and environment metadata.
CC BY 4.0 license. Free to use, share, and build upon for any research or commercial purpose.
Filter by structure type, crack type, or severity. Click any record to view full details and download.
Every crack follows a strict photo acquisition protocol ensuring consistency and usability for AI training.
Each crack is documented with full physical measurements before photography.
All camera parameters recorded for full reproducibility.
Systematic multi-view acquisition for robust AI training data.
Submit your own crack records from any infrastructure project worldwide. All contributions are reviewed and credited.
Drop crack photos here or click to browse
JPG, PNG — min 4000×3000 px recommendedPhotos must follow the protocol: far, medium, close-up (0°, ±30°), scale, lighting, negative. Minimum 10 images per crack. All images must be original work.
All submissions are reviewed by the research team at The Hashemite University within 3–5 business days. Accepted contributions are credited in the dataset.
Contributors are listed in the dataset README and on this website. Your institution will be credited in every crack record you submit.
Dr. Yousef Almashakbeh · Civil Engineering
The Hashemite University, Zarqa, Jordan
yousefalmashakbeh@hu.edu.jo
If you use this dataset in your work, please cite it using one of the formats below.
Department of Civil Engineering
Department of Civil Engineering
Department of Civil Engineering
Department of Civil Engineering
Zarqa, Jordan — Est. 1995
Researchers Worldwide