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@@ -3,14 +3,17 @@ license: apache-2.0
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  tags:
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  - vision
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  - image-classification
 
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  datasets:
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  - https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-chest-xray-dataset
 
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  widget:
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  - src: https://huggingface.co/Owos/tb-classifier/blob/main/tb-negative.png
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  example_title: Negative
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  - src: https://huggingface.co/Owos/tb-classifier/blob/main/tb-positive.png
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  example_title: Positive
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- metrics:
 
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  - Accuracy
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  - Precision
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  - Recall
@@ -38,4 +41,5 @@ Transfer-learning was employed using InceptionV3 as the pre-trained model. Train
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  #Evaluation results
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  The result of the evaluation are as follows: - loss: 0.0923 - binary_accuracy: 0.9857 - precision: 0.9259 - recall: 0.9843
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  More information can be found in the plot below.
 
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  tags:
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  - vision
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  - image-classification
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+
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  datasets:
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  - https://www.kaggle.com/datasets/tawsifurrahman/tuberculosis-tb-chest-xray-dataset
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+
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  widget:
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  - src: https://huggingface.co/Owos/tb-classifier/blob/main/tb-negative.png
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  example_title: Negative
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  - src: https://huggingface.co/Owos/tb-classifier/blob/main/tb-positive.png
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  example_title: Positive
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+
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+ metrics:
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  - Accuracy
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  - Precision
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  - Recall
 
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  #Evaluation results
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  The result of the evaluation are as follows: - loss: 0.0923 - binary_accuracy: 0.9857 - precision: 0.9259 - recall: 0.9843
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  More information can be found in the plot below.
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+ ![Evaluation results of the TB model](https://huggingface.co/Owos/tb-classifier/blob/main/inceptionv3_results.png)
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