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--- |
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tags: |
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- image-classification |
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- pytorch |
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- huggingpics |
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metrics: |
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- accuracy |
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model-index: |
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- name: cv_apple_leaf_disease_detection |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9758327603340149 |
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--- |
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# cv_apple_leaf_disease_detection |
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Autogenerated by HuggingPics🤗🖼️ |
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Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb). |
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Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics). |
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## Example Images |
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#### Alternaria leaf spot |
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![Alternaria leaf spot](images/Alternaria_leaf_spot.jpg) |
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#### Brown spot |
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![Brown spot](images/Brown_spot.jpg) |
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#### Frogeye leaf spot |
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![Frogeye leaf spot](images/Frogeye_leaf_spot.jpg) |
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#### Grey spot |
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![Grey spot](images/Grey_spot.jpg) |
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#### Health |
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![Health](images/Health.jpg) |
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#### Mosaic |
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![Mosaic](images/Mosaic.jpg) |
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#### Powdery mildew |
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![Powdery mildew](images/Powdery_mildew.jpg) |
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#### Rust |
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![Rust](images/Rust.jpg) |
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#### Scab |
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![Scab](images/Scab.jpg) |