Road Anomaly Detection

Published: 4 September 2024| Version 1 | DOI: 10.17632/8chk8vdn2z.1
Contributor:
sarfaraz natha

Description

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 using mobile cameras and surveillance systems in different cities across Pakistan. Additionally, footages were obtained through collaboration with friends, who provided videos from social media platforms and other online sources, including contributions from different countries. This comprehensive approach allowed for the creation of a dataset that encompasses a wide range of scenarios and conditions pertinent to the study's focus on road anomalies.

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Institutions

Quaid-e-Awam University of Engineering Science and Technology, Sir Syed University of Engineering and Technology

Categories

Computer Vision, Object Detection, Machine Learning, Spatial Analysis, Accident, Deep Learning, Fire, Road

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