Road Surface Analysis Dataset for Pothole Detection

Home » Dataset Download » Road Surface Analysis Dataset for Pothole Detection

Road Surface Analysis Dataset for Pothole Detection

Datasets

Road Surface Analysis Dataset for Pothole Detection

File

Road Surface Analysis Dataset for Pothole Detection

Use Case

Computer Vision

Description

Explore our Pavement Condition Analysis Dataset, meticulously designed for pothole detection across various road conditions. This dataset is perfect for advancing AI diagnostics and improving vehicle safety measures. Moreover, it is tailored to meet the needs of researchers and developers in the field of road safety. Ultimately, this dataset aims to enhance the precision and reliability of pothole detection systems.

Overview:

This dataset is meticulously designed for the development and validation of computer vision models aimed at detecting potholes on various road surfaces. It includes a comprehensive collection of video footage taken from vehicle-mounted cameras, thereby providing a real-world view of diverse road conditions.

Contents:

Videos: The dataset contains over 1,000 hours of high-resolution video, covering a wide range of lighting and weather conditions.
Annotations: Each video is meticulously annotated with bounding boxes and labels identifying potholes, and severity levels are indicated where applicable.
Metadata: Additionally, it includes detailed information on the location, time of day, and weather conditions during each recording.

Applications:

This dataset is ideal for researchers and engineers developing AI-driven diagnostic tools for road maintenance. Furthermore, it enhances safety measures and improves vehicle navigation systems. Ultimately, it serves as a valuable resource for advancing the technology and efficiency of pothole detection and road surface analysis.

This dataset is sourced from Kaggle.

Contact Us

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

{ "@context": "https://schema.org", "@graph": [ { "@type": "Service", "serviceType": "Custom AI Training Data & Annotation", "name": "Road Surface Analysis Dataset for Pothole Detection Service", "description": "Providing over 1,000 hours of video data with bounding box annotations for training object detection models in road maintenance, safety, and vehicle navigation systems.", "provider": { "@type": "Organization", "name": "GTS", "url": "https://gts.ai/", "logo": "https://gts.ai/wp-content/themes/mx/images/logo.png" }, "areaServed": "Global", "serviceOutput": "Annotated Video Dataset for Object Detection and Road Diagnostics", "url": "https://gts.ai/dataset-download/road-surface-analysis-dataset-for-pothole-detection/" }, { "@type": "Organization", "name": "GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED", "url": "https://gts.ai/", "logo": "https://gts.ai/wp-content/themes/mx/images/logo.png", "contactPoint": { "@type": "ContactPoint", "contactType": "customer service", "telephone": "+91-9269795291", "email": "hi@gts.ai" } }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://gts.ai/" }, { "@type": "ListItem", "position": 2, "name": "Dataset Download", "item": "https://gts.ai/dataset-download" }, { "@type": "ListItem", "position": 3, "name": "Road Surface Analysis Dataset for Pothole Detection", "item": "https://gts.ai/dataset-download/road-surface-analysis-dataset-for-pothole-detection/" } ] }, { "@type": "Dataset", "name": "Road Surface Analysis Dataset for Pothole Detection", "description": "A comprehensive dataset of over 1,000 hours of video footage from vehicle-mounted cameras, annotated with bounding boxes for pothole detection, road surface analysis, and AI-driven road maintenance.", "url": "https://gts.ai/dataset-download/road-surface-analysis-dataset-for-pothole-detection/", "keywords": [ "Road Surface Analysis Dataset for Pothole Detection", "datasets for computer vision", "data collection", "dataset for ml", "Pothole Detection", "Road Maintenance", "Vehicle Safety" ], "license": "https://creativecommons.org/publicdomain/zero/1.0/", "creator": { "@type": "Organization", "url": "https://gts.ai/", "logo": "https://gts.ai/wp-content/themes/mx/images/logo.png", "name": "GTS" }, "publisher": { "@type": "Organization", "name": "GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED" }, "distribution": { "@type": "DataDownload", "encodingFormat": "JSON/Video", "contentUrl": "https://gts.ai/dataset-download/road-surface-analysis-dataset-for-pothole-detection/" } }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "How is the Road Surface Analysis Dataset used for AI/ML pothole detection?", "acceptedAnswer": { "@type": "Answer", "text": "The dataset is used to train **Object Detection models** to identify potholes in real-time video footage, enabling AI-driven diagnostics for road maintenance and enhancing vehicle navigation systems." } }, { "@type": "Question", "name": "What are the key contents and size of the dataset?", "acceptedAnswer": { "@type": "Answer", "text": "The dataset contains **over 1,000 hours of high-resolution video** footage, captured from vehicle-mounted cameras, covering diverse lighting and weather conditions for robust model training." } }, { "@type": "Question", "name": "What annotation and metadata details are included for pothole identification?", "acceptedAnswer": { "@type": "Answer", "text": "Each video is meticulously annotated with **bounding boxes and labels** identifying potholes. Metadata includes **severity levels**, location, time of day, and weather conditions." } }, { "@type": "Question", "name": "Does GTS provide custom datasets for other road defects or regional road types?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, GTS specializes in **custom dataset collection** for specific infrastructure monitoring needs, including cracks, road markings, and region-specific pavement types. We can offer a **free sample** based on your unique project specifications." } }, { "@type": "Question", "name": "Is the dataset suitable for training models for autonomous vehicles?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, the real-world video footage and precise pothole annotations make it an ideal resource for **enhancing safety measures** and improving the perception capabilities of **autonomous vehicle navigation systems**." } } ] } ] }