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@@ -22,7 +22,7 @@ According to the *Recall* metric, we set a performance threshold of at least 80%
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The following table presents the test metric results for all the models implemented in this project.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66d6f28a19214d743ca1eb43/q6g7SAHT-enMFOkoXqxWc.png" alt="Description" width="
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After comparing the different results, it can be seen that the model with the highest performance across all metrics is the **ViT** model, achieving the best results according to all the criteria we set in the initial phase.
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The following table presents the test metric results for all the models implemented in this project.
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66d6f28a19214d743ca1eb43/q6g7SAHT-enMFOkoXqxWc.png" alt="Description" width="500" height="500"/>
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After comparing the different results, it can be seen that the model with the highest performance across all metrics is the **ViT** model, achieving the best results according to all the criteria we set in the initial phase.
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