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.