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+# Road Issues Detection Dataset
+
+## Overview
+
+This dataset contains images categorized for road infrastructure issues detection, specifically focused on identifying potholes, damaged roads, broken road signs, and illegal parking violations. The dataset has been organized into different categories for computer vision and machine learning applications.
+
+## Dataset Structure
+
+```
+data/
+├── Road Issues/
+│   ├── Broken Road Sign Issues/     # Images of damaged or vandalized road signs
+│   ├── Damaged Road issues/         # Images of broken roads and speed breakers  
+│   ├── Pothole Issues/             # Images of potholes and road surface damage
+│   ├── Illegal Parking Issues/     # Images of illegal parking violations
+│   └── Mixed Issues/               # Images containing multiple types of issues
+└── Public Cleanliness + Environmental Issues/  # Environmental and cleanliness issues
+```
+
+## Categories
+
+### Road Issues
+- **Broken Road Sign Issues**: Contains images of graffitied, damaged, or vandalized road signs
+- **Damaged Road Issues**: Images showing road surface damage, speed breakers, and general road infrastructure problems
+- **Pothole Issues**: Specifically focused on pothole detection and road surface deterioration
+- **Illegal Parking Issues**: Documentation of parking violations and improper vehicle placement
+- **Mixed Issues**: Images that contain multiple types of road-related problems
+
+### Public Cleanliness + Environmental Issues
+Additional category for broader infrastructure and environmental monitoring.
+
+## Dataset Statistics
+
+- **Total Images**: 9,660 JPG images
+- **Format**: RGB images in JPEG format
+- **Categories**: 7 distinct issue types across infrastructure and environmental problems
+- **Organization**: Hierarchical structure with clear category separation
+- **Quality**: High-resolution images suitable for machine learning applications
+
+## Use Cases
+
+This dataset is suitable for:
+- Road infrastructure monitoring systems
+- Automated pothole detection
+- Municipal maintenance planning
+- Computer vision research in urban infrastructure
+- Machine learning model training for road safety applications
+- Smart city infrastructure management
+
+## License
+
+This dataset is released under CC0-1.0 license, making it freely available for any use.
+
+## Citation
+
+If you use this dataset in your research, please consider citing:
+
+```
+Road Issues Detection Dataset
+OutlierRejects Team
+Available at: [Dataset URL]
+```