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@@ -37,7 +37,26 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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  ## Model description
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+ This model was created by importing images of crop damage.
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+ I then used the image classification tutorial here: https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb
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+ obtaining the following notebook:
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+ https://colab.research.google.com/drive/1qEskI6O-Jjv7UCanfQmUmzz8qUyg7FS3?usp=sharing
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+ The possible classified data are:
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+ Damage types
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+ | Damage | Definition |
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+ |-----------------|---------------------|
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+ | DR | Drought |
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+ | G | Good (growth) |
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+ | ND | Nutrient Deficient |
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+ | WD | Weed |
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+ | other | Disease, Pest, Wind |
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+ Crop example:
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  ## Intended uses & limitations
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