Instructions to use Ashgibbs/Cosmetic_Defect_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ashgibbs/Cosmetic_Defect_Detection with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Ashgibbs/Cosmetic_Defect_Detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c9ea8417de62164cf833f7dd4e08d63ef780eab0bbd5326651a82879063d9117
- Size of remote file:
- 490 kB
- SHA256:
- 34368df40c8f6a6c8798ef674325d85fbe0bb84444c318c85b25e4938a8c020d
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