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:
- cfadcbd6155cafaf6c530aa074b8a96d84ee4744123f8162c9dadde4cbdb0d98
- Size of remote file:
- 3.21 MB
- SHA256:
- 83015a59e477155a3ed1dbacc61585b8d3092da6287ec9d0ec72c660ac604712
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