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Dataset Description
The RDD2020 image dataset contains 26,336 road images collected from India, Japan, and the Czech Republic, with more than 31,000 instances of road damages. The dataset contains annotation for four damage categories: Longitudinal Cracks(D00), Transverse Cracks(D10), Alligator Cracks(D20) and Potholes(D40). The data has been divided into three subsets: train, test1, and test2. The train set further contains three subdirectories: India, Japan, and Czech. Each sub-directory consists of images and annotations collected from the respective country. The directory images for Japan and Czech, respectively, contain 10,506 and 2829 image files(.jpg) of the resolution 600 × 600 pixels. For India, the directory 'images' includes 7706 images of resolution 720 × 720. The annotation directory contains the corresponding XML files in PASCAL VOC format. It includes the information of the road damage label and its location coordinates in the image. The damage labels mainly cover the four damage categories as mentioned earlier.
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