Programmer-RD-AI/road-issues-detection-dataset

1---2license: cc0-1.03task_categories:4- image-classification5- object-detection6language:7- en8tags:9- road-infrastructure10- pothole-detection11- urban-monitoring12- smart-city13- road-safety14- infrastructure-maintenance15- computer-vision16- street-signs17- illegal-parking18- road-damage19modality:20- image21size_categories:22- 1K<n<10K23pretty_name: Road Issues Detection Dataset24dataset_info:25  features:26  - name: image27    dtype: image28  - name: label29    dtype: string30  configs:31  - config_name: default32    data_files: "data/**/*.jpg"33    drop_labels: true34---35 36# Road Issues Detection Dataset37 38## Dataset Summary39 40This comprehensive dataset contains 9,660 high-resolution RGB images categorized for road infrastructure issues detection. The dataset focuses on identifying critical urban infrastructure problems including potholes, damaged roads, broken road signs, illegal parking violations, and environmental cleanliness issues. It has been specifically organized and curated for computer vision and machine learning applications in smart city infrastructure monitoring.41 42## Supported Tasks and Leaderboards43 44- **Image Classification**: Classify different types of road infrastructure issues45- **Object Detection**: Detect and locate specific road problems within images46- **Multi-label Classification**: Images may contain multiple types of issues47- **Urban Infrastructure Monitoring**: Real-world application in smart city systems48 49## Languages50 51The dataset primarily contains images with English text on road signs and infrastructure, though the visual nature makes it applicable across different linguistic contexts.52 53## Dataset Structure54 55```56data/57├── Road Issues/58│   ├── Broken Road Sign Issues/     # Images of damaged or vandalized road signs59│   ├── Damaged Road issues/         # Images of broken roads and speed breakers  60│   ├── Pothole Issues/             # Images of potholes and road surface damage61│   ├── Illegal Parking Issues/     # Images of illegal parking violations62│   └── Mixed Issues/               # Images containing multiple types of issues63└── Public Cleanliness + Environmental Issues/64    ├── Littering Garbage on Public Places Issues/  # Environmental and cleanliness issues65    └── Vandalism Issues/                           # Images of graffiti and vandalism66```67 68## Dataset Creation69 70### Source Data71 72This dataset was compiled from multiple high-quality sources specializing in urban infrastructure monitoring:73 741. **Litter Street Images**: [Roboflow Universe - Kabml Images](https://universe.roboflow.com/kabml-images/litter-street-images/)752. **Urban Trash Dataset**: [Kaggle - Domestic Trash Garbage Dataset](https://www.kaggle.com/datasets/dataclusterlabs/domestic-trash-garbage-dataset)763. **Road Issues Plot Holes Pavement**: [Roboflow Universe - Navrachana University](https://universe.roboflow.com/navrachana-university-nydun/pothole-and-speed-breaker-detect)774. **Graffiti and Vandalism Dataset**: [Roboflow Universe - Hruts Workspace](https://universe.roboflow.com/hruts-workspace/graffiti-l6az9)785. **Damaged Road Signs Dataset**: [Roboflow Universe - Jayke Boghean](https://universe.roboflow.com/jayke-boghean-2pxtg/damaged-signs-multi-label)796. **Damaged Construction Dataset**: [Mendeley Data](https://data.mendeley.com/datasets/9t3y6hhddk/1)807. **Illegal Parking Dataset**: [Roboflow Universe - Parking AMU50](https://universe.roboflow.com/parking-amu50/illegal-parking)818. **Additional Damaged Road Signs**: [Roboflow Universe - Road Inspection](https://universe.roboflow.com/road-inspection/damaged-signs-hind)82 83### Data Collection and Processing84 85The images were carefully curated, organized, and categorized to ensure high quality and relevance for infrastructure monitoring applications. All images are in JPEG format with consistent quality standards suitable for machine learning model training and evaluation.86 87## Categories and Use Cases88 89### Road Issues90- **Broken Road Sign Issues**: Contains images of graffitied, damaged, or vandalized road signs for automated sign maintenance systems91- **Damaged Road Issues**: Images showing road surface damage, speed breakers, and general road infrastructure problems for municipal planning92- **Pothole Issues**: Specifically focused on pothole detection and road surface deterioration for automated road quality assessment93- **Illegal Parking Issues**: Documentation of parking violations and improper vehicle placement for traffic management systems94- **Mixed Issues**: Images that contain multiple types of road-related problems for comprehensive monitoring95 96### Public Cleanliness + Environmental Issues97- **Littering Garbage on Public Places Issues**: Environmental cleanliness monitoring for smart city applications98- **Vandalism Issues**: Images of graffiti and vandalism for public space maintenance99 100## Dataset Statistics101 102- **Total Images**: 9,660 JPG images103- **Format**: RGB images in JPEG format (.jpg)104- **Categories**: 7 distinct issue types across infrastructure and environmental problems105- **Organization**: Hierarchical structure with clear category separation106- **Quality**: High-resolution images suitable for machine learning applications107- **File Size**: Varies by image, optimized for computer vision applications108 109## Applications110 111This dataset is particularly suitable for:112- **Road Infrastructure Monitoring Systems**: Automated detection and classification of road problems113- **Municipal Maintenance Planning**: Data-driven infrastructure maintenance scheduling114- **Smart City Infrastructure Management**: Integration with IoT and smart city platforms115- **Computer Vision Research**: Academic and commercial research in urban infrastructure116- **Machine Learning Model Training**: Training robust models for real-world deployment117- **Automated Inspection Systems**: Integration with drone or vehicle-mounted camera systems118 119## Licensing Information120 121This dataset is released under the **CC0-1.0 (Creative Commons Zero)** license, making it freely available for any use, including commercial applications, without any restrictions.122 123## Citation Information124 125If you use this dataset in your research or applications, please cite:126 127```bibtex128@misc{ranuga_disansa_2025,129    author       = { Ranuga Disansa and Rivindu Ashinsa and Sanila Wijesekara and Thuan Naheem },130    title        = { road-issues-detection-dataset (Revision c0c9c37) },131    year         = 2025,132    url          = { https://huggingface.co/datasets/Programmer-RD-AI/road-issues-detection-dataset },133    doi          = { 10.57967/hf/6188 },134    publisher    = { Hugging Face }135}136```137 138## Contributions139 140This dataset was created and curated by the OutlierRejects team:141- Ranuga Disansa142- Rivindu Ashinsa  143- Sanila Wijesekara144- Thuan Naheem145 146We acknowledge and thank all the original data sources and their contributors for making their datasets available to the community.147 148## Additional Information149 150### Dataset Curators151OutlierRejects Team152 153### Dataset Version154Current version: c0c9c37 (2025)155 156### Contact Information157For questions, issues, or contributions, please refer to the dataset repository or contact the curators through the Hugging Face dataset page.