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:
- 9708013c13fd960f47fbb63eb90608e1c2b3dc4c01d30b19d7dc17ddd84f0dc1
- Size of remote file:
- 174 kB
- SHA256:
- 09cefb5f80efe6fb0b9a0b1945f61b5d8a96fa40b1e76bc2c6426fe5d822c3d3
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