Bhutad Sonali, Patil Kailas
Vishwakarma University, Pune, India.
Data Brief. 2022 Mar 8;42:108023. doi: 10.1016/j.dib.2022.108023. eCollection 2022 Jun.
Road surface monitoring plays a vital role in ensuring safety and comfort for the various road users, from pedestrians to drivers. Furthermore, this information is useful for the maintenance of the roads. The road condition deteriorates due to volatile weather. Thus the main objective of the proposed paper is to create an image dataset of the road surface for two seasons, i.e. summer and rainy. Accordingly, we created road surface images for different roads such as paved and unpaved roads. These folders consist of two subfolders for Rainy and Summer potholes. The dataset consists of 8484 images and 10 videos. This dataset is highly useful for machine learning experts working in the field of automatic vehicle controlling and road surface monitoring.
路面监测对于确保从行人到驾驶员等各类道路使用者的安全与舒适起着至关重要的作用。此外，这些信息对道路维护也很有用。由于天气多变，道路状况会恶化。因此，本文的主要目标是创建一个包含夏季和雨季这两个季节的路面图像数据集。相应地，我们为不同类型的道路创建了路面图像，如铺装道路和未铺装道路。这些文件夹包含两个子文件夹，分别用于存放雨季和夏季的坑洼图像。该数据集由8484张图像和10个视频组成。这个数据集对于在自动车辆控制和路面监测领域工作的机器学习专家非常有用。
