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README.md
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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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## 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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