Web: http://arxiv.org/abs/2209.08538

Sept. 20, 2022, 1:13 a.m. | Deeksha Arya (1 and 2), Hiroya Maeda (3), Sanjay Kumar Ghosh (1), Durga Toshniwal (1), Yoshihide Sekimoto (2) ((1) Indian Institute of Technology Roor

cs.CV updates on arXiv.org arxiv.org

The data article describes the Road Damage Dataset, RDD2022, which comprises
47,420 road images from six countries, Japan, India, the Czech Republic,
Norway, the United States, and China. The images have been annotated with more
than 55,000 instances of road damage. Four types of road damage, namely
longitudinal cracks, transverse cracks, alligator cracks, and potholes, are
captured in the dataset. The annotated dataset is envisioned for developing
deep learning-based methods to detect and classify road damage automatically.
The dataset has …

arxiv dataset detection image

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