Instructions to use cvtechniques/TrafficSignDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use cvtechniques/TrafficSignDetection with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("cvtechniques/TrafficSignDetection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e63521019c56c100d8d040a5c4074ca2f8c105569bf06abe00835620e7b75687
- Size of remote file:
- 232 kB
- SHA256:
- f6a9cb452891a112e1c79a35b0238111fa1911564889037450286d667555df74
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