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Update README.md

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  ---
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- metrics:
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- - accuracy
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- pipeline_tag: image-classification
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  tags:
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- - medical
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- library_name: tensorflow
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- -
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ name: "Teeth Classification Model"
 
 
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  tags:
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+ - Image Classification
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+ - Dentistry
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+ - Healthcare
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+ license: "apache-2.0"
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+
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+ # Add any relevant libraries and frameworks
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+ library_name: "tensorflow"
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+
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+ # Specify the pipeline tag
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+ pipeline_tag: "image-classification"
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+
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+ # Add information about the model
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+ description: |
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+ This model classifies images of teeth into two categories: "Clean" and "Carries".
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+ It is trained using TensorFlow and accepts images of size 256x256 pixels.
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+
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+ model_parameters:
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+ - name: "Input Size"
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+ description: "Size of the input images (256x256 pixels)"
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+ metrics:
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+ - name: "Accuracy"
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+ description: "%93"
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+
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+ limitations:
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+ - "The model may not perform well on images with poor quality or unusual angles."
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+ - "It is trained on a specific dataset and may not generalize well to all scenarios."
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+
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+ # Add performance metrics if available
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+ performance:
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+ accuracy: 0.93
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+
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+
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+ ---