WebSep 18, 2024 · 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 … WebReal-time road quality monitoring, involves using technologies to collect data on the conditions of the road, including information on potholes, cracks, and other defects. This information can help to improve safety for drivers and reduce costs associated with road damage. Traditional methods are time-consuming and expensive, leading to limited …
RDD2024: An annotated image dataset for automatic …
WebThe dataset captures four types of road damage: longitudinal cracks, transverse cracks, alligator cracks, and potholes; and is intended for developing deep learning-based me... Cite... Web972 open source Road images plus a pre-trained Get Dataset model and API. Created by Tecnologico de Monterrey. ... Crack and Potholes. Chen Dadon. potholes-cracks. 6016 images. Object Detection. jbnlkbn. Tesi. Road-Signs. 56 images. Object Detection. Product Overview; Pricing; Documentation; Blog; YouTube; palynziq bestellen
Road Pothole Images for Pothole detection Kaggle
WebMay 26, 2024 · This paper describes the methods submitted for evaluation to the SHREC 2024 track on pothole and crack detection in the road pavement. A total of 7 different … Webblur, crosswalk blur, rutting, bump, pothole, alligator crack, construction joint part, wheel mark part, etc. The dataset collected is made up of 9,053 road damage images. The authors adopted object detection methods using CNN in training their system and detecting road distortions. The authors also tested TABLE I POTHOLE DETECTION APPROACHES WebMar 15, 2024 · The available datasets have been used for years to implement a machine learning based approach using classification features and classification algorithms based on computer vision, e.g., SVM for detecting cracks and potholes, random forest for classifying road defects [8–12]. Many researchers have demonstrated the benefits of deep learning ... palynziq annual cost