Object Detection
ultralytics
YOLOv10
PyTorch
English
yolo
yolov8
yolo11
road-damage
computer-vision
Eval Results (legacy)
Instructions to use nsr51324/Road_Damage_Object_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use nsr51324/Road_Damage_Object_Detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("nsr51324/Road_Damage_Object_Detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - YOLOv10
How to use nsr51324/Road_Damage_Object_Detection with YOLOv10:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("nsr51324/Road_Damage_Object_Detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle