Brickwork Cracks Dataset

Brickwork Cracks Dataset Version 1.0 (2023-06-07) Please cite as: S. Katsigiannis, S. Seyedzadeh, A. Agapiou, N. Ramzan, "Deep learning for crack detection on masonry façades using limited data and transfer learning", Journal of Building Engineering, vol. 76, 107105, 2023. https://doi.org/10.1016/j.jobe.2023.107105 Disclaimer While every care has been taken to ensure the accuracy of the data included in the Brickwork Cracks Dataset, the authors and the University of the West of Scotland, the University of Strathclyde, and Durham University do not provide any guaranties and disclaim all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which you might incur as a result of the provided data being inaccurate or incomplete in any way and for any reason. 2023, University of the West of Scotland, United Kingdom, University of Strathclyde, United Kingdom, Durham University, United Kingdom. Dataset summary The dataset contains 700 brickwork images, divided into two classes. The positive class denotes the existence of cracks in the brickwork, whereas the negative class denotes that no cracks exist in the brickwork. The dataset contains 350 images for each class. Additional information For additional information regarding the Brickwork Cracks Dataset, please refer to the associated publication: S. Katsigiannis, S. Seyedzadeh, A. Agapiou, N. Ramzan, "Deep learning for crack detection on masonry façades using limited data and transfer learning", Journal of Building Engineering, vol. 76, 107105, 2023. https://doi.org/10.1016/j.jobe.2023.107105