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:
- feb5226f19aa776b9feb76ed12a6bb7380f8bf909390b2ea3aad3211df67435d
- Size of remote file:
- 455 kB
- SHA256:
- fa403fe540b9def9690bffbabb48e19c50128fc113bc9c0cb5d32809dc5006af
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