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Urban Issues Urban Issues Image Dataset
*This dataset supports online use.Click here to jump.
Urban Issues is a public image classification dataset designed to help automated and machine vision systems identify public infrastructure and environmental issues in urban environments.
Images in this dataset are organized by category, with each image labeled with a single category. The data is annotated and organized using the YOLO format, making it suitable for training and evaluating image classification and object detection models. It is particularly valuable in applications such as smart city infrastructure monitoring, public environment maintenance, road condition monitoring, and urban governance.
Data Category:
- Damaged Road Issues
- Pothole Issues
- Illegal Parking Issues
- Broken Road Sign Issues
- Fallen Trees
- Littering / Garbage on Public Places
- Vandalism Issues
- Dead Animal Pollution
- Damaged Concrete Structures
- Damaged Electric Wires and Poles
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