Moroccan Road Damages Dataset

The Moroccan Road Damages dataset is a meticulously collected and annotated collection comprising 77 images that capture various potholes on Moroccan roads. The primary objective of this dataset is to support the development and evaluation of computer vision models capable of accurately identifying potholes. These models can be implemented in mobile applications for real-time detection, significantly contributing to road maintenance and safety. The images were gathered from diverse locations across Morocco, ensuring a comprehensive representation of different pothole conditions. This dataset is ideal for applications in infrastructure maintenance, urban planning, and smart city development. The dataset is organized in the Data folder and is divided into three subsets: Moroccan_Potholes_train: 54 images (70%) Moroccan_Potholes_test: 15 images (20%) Moroccan_Potholes_valid: 8 images (10%)