SUT-Crack
Published: 18 September 2023| Version 6 | DOI: 10.17632/gsbmknrhkv.6
Contributors:
, Description
The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
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Institutions
Sharif University of Technology
Categories
Pavement, Pavement Evaluation, Image Analysis