Urban Community Issues Object Detection Dataset
This dataset contains annotated images for training object detection models focused on road infrastructure and urban environments. It is designed for applications such as smart city monitoring, road safety systems, and infrastructure damage detection. The dataset is provided in YOLO<
This dataset contains annotated images for training object detection models focused on road infrastructure and urban environments. It is designed for applications such as smart city monitoring, road safety systems, and infrastructure damage detection. The dataset is provided in YOLO format and is compatible with popular models like YOLOv5, YOLOv8, and other Ultralytics-based detectors.
Each image has a corresponding .txt label file following YOLO annotation format.
### Dataset Size
| Class | Number of Images |
|---|---|
| Animal | 600 |
| Traffic Light | 600 |
| Waste Container | 600 |
| Pothole | 300 |
| Cracks | 166 |
| Open Manhole | 152 |
| Good Road | 100 |
⚠️ Note: The dataset is imbalanced across classes. Users may apply augmentation techniques if needed.
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Files are hosted on the source repository. Click download to access the full dataset.