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:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("Ashgibbs/Cosmetic_Defect_Detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload confusion_matrix_normalized.png with huggingface_hub
Browse files- .gitattributes +1 -0
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v3_detection_model/val_batch2_pred.jpg filter=lfs diff=lfs merge=lfs -text
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confusion_matrix_normalized.png filter=lfs diff=lfs merge=lfs -text
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confusion_matrix_normalized.png
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