Please Cited paper. A fusion approach of YOLOv8 and CNN-Transformer for End-to-End Road anomaly detection DOI: https://doi.org/10.1038/s41598-025-29718-4 Abstract: Surveillance cameras are common in
The dataset for this study was compiled from various sources to ensure a diverse and representative collection of road anomalies. Primary data were gathered by recording videos and capturing images us
The dataset contains images of potholes and good quality road. It contain 2 folders for respective images. Has high quality images for each category. Contain 600 images- 300 images of pothole and the
Please Cited paper. https://doi.org/10.1038/s41598-025-29718-4 The Road Anomaly Dataset (RAD) is a benchmark dataset developed to advance research in automated surveillance systems, intelligent trans
