RoadDamageBD
Published: 1 October 2025| Version 1 | DOI: 10.17632/km53tmscxw.1
Contributors:
Rasel Hossen, , , , , , Description
We develop a novel dataset comprising 450 images which are captured by us using mobile phone cameras in Dhaka city, the capital of Bangladesh. This dataset is divided into two classes: broken and non-broken. The former class represents images of damaged roads, while the latter class represents good-conditioned road images. The dataset will be useful for machine learning and deep learning research in computer vision domain. The dataset is ready to be used by machine learning and deep learning algorithms, although careful pre-processing may yield better performance. Please cite our research paper (link provided in this webpage) when you use this dataset for your research.
Files
Institutions
Dhaka University
Categories
Computer Vision, Image Processing, Machine Learning, Deep Learning