Pavementscapes
Introduced by Tong et al. in Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation
Pavementscapes is a large-scale dataset to develop and evaluate methods for pavement damage segmentation. It is comprised of 4,000 images with a resolution of 1024×2048, which have been recorded in the real-world pavement inspection projects with 15 different pavements. A total of 8,680 damage instances are manually labeled with six damage classes at the pixel level.
Papers
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