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:
- f07a4739824c33e21d026877a6efdc33bf158c232b795dcc527d8ca466a4c623
- Size of remote file:
- 260 kB
- SHA256:
- b27baa79538287c5eae04e51e083db10ede7b51ddc2ef3bf4cd7b56114a47404
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