cvtechniques/Road_Damage_Detection_USA
Road Damage Detection — YOLOv11 (US Roads) Model Description This model is a YOLOv11 object detection model that is meant to detect and identify road damage in images captured by cameras mounted to vehicles. Given an image, the model will output a bounding box and a label that shows the location and the type of damage there is. Training approach: This model was fine tuned with pretrained weights on a subset of the Road Damage Detector dataset, using only images… See the full description on the dataset page: https://huggingface.co/datasets/cvtechniques/Road_Damage_Detection_USA.
| Author / organization | cvtechniques |
|---|---|
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 March 2026 |
| Last updated at source | 17 March 2026 |
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