SUT-Crack: A comprehensive dataset for pavement crack detection across all methods.

ABSTRACT: The SUT-Crack dataset (Sharif University of Technology Crack Dataset) presents a collection of high-quality images depicting asphalt pavement cracks specifically designed to facilitate crack detection using various deep learning methods, including classification, object detection, segmentation, etc. During the dataset creation process, careful consideration was given to encompass all possible crack detection challenges, such as the presence of oil stains and shadows on the pavement surface along with varying lighting conditions. The dataset comprises 130 images designed specifically for segmentation and object detection tasks. Each image is accompanied by precise ground truth annotations. This dataset is well-suited for various crack detection methods, offering accurate annotations that en

SUBMITTER: Sabouri M 

PROVIDER: S-EPMC10570945 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature