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@@ -13,6 +13,11 @@ The report suggests combining these approaches for a more robust system, potenti
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  ## Model Card: Facial Drowsiness Detection - Base CNN
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  * **Model File:** `trained_model_weights_BASE_DATASET1.pth`
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  * **Size:** 5,859 training images.
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  * **Preprocessing:** Resize (48x48), Grayscale, ToTensor, Normalize (calculated mean/std from dataset), RandomHorizontalFlip.
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  ### Evaluation Data
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  * **Dataset:** Test split of the Drowsy Detection Dataset.
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  * **Size:** 1,483 testing images.
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  * **Size:** 5,807 training images.
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  * **Preprocessing:** Resize (224x224), Grayscale (num_output_channels=3), Augmentations (RandomHorizontalFlip, RandomRotation(10), ColorJitter), ToTensor, Normalize (calculated mean/std from dataset).
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  ### Evaluation Data
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  * **Dataset:** Test split of the Openned Closed Eyes Dataset.
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  * **Size:** 4,232 testing images.
 
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6637cf88484e5c9a2a962514/G0RCANjleDfvXMm17zVzQ.png)
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  ## Model Card: Facial Drowsiness Detection - Base CNN
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  * **Model File:** `trained_model_weights_BASE_DATASET1.pth`
 
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  * **Size:** 5,859 training images.
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  * **Preprocessing:** Resize (48x48), Grayscale, ToTensor, Normalize (calculated mean/std from dataset), RandomHorizontalFlip.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6637cf88484e5c9a2a962514/2o3xtszRHsU_0zyni99Ca.png)
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  ### Evaluation Data
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  * **Dataset:** Test split of the Drowsy Detection Dataset.
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  * **Size:** 1,483 testing images.
 
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  * **Size:** 5,807 training images.
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  * **Preprocessing:** Resize (224x224), Grayscale (num_output_channels=3), Augmentations (RandomHorizontalFlip, RandomRotation(10), ColorJitter), ToTensor, Normalize (calculated mean/std from dataset).
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6637cf88484e5c9a2a962514/YSBLtj6Skd4R5rUE7dIYD.png)
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  ### Evaluation Data
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  * **Dataset:** Test split of the Openned Closed Eyes Dataset.
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  * **Size:** 4,232 testing images.