Image Classification
Scikit-learn
English
defect-detection
machine-learning
quality-control
ensemble-learning
neural-networks
Eval Results (legacy)
Instructions to use AbdullahImran/Paper-Defect-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AbdullahImran/Paper-Defect-Detection with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("AbdullahImran/Paper-Defect-Detection", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- quality-control
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- ensemble-learning
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license: apache-2.0
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datasets:
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- custom_paper_surface_defect
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pipeline_tag: image-classification
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- quality-control
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- ensemble-learning
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- neural-networks
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datasets:
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- custom_paper_surface_defect
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pipeline_tag: image-classification
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