Urban Community Issues Object Detection Dataset
收藏Zenodo2026-03-05 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.18871460
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资源简介：
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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Zenodo创建时间：
2026-03-05
