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README.md
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@@ -31,6 +31,8 @@ This repository contains a `MobileViT v2` classification model fine-tuned to det
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This model was trained in PyTorch using the `timm` library and demonstrates high performance on an unseen test set, making it a reliable foundation for driver safety applications.
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## Model Details
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* **Architecture:** `mobilevitv2_200`
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* **Fine-tuned on:** A combined dataset for driver drowsiness detection.
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This model was trained in PyTorch using the `timm` library and demonstrates high performance on an unseen test set, making it a reliable foundation for driver safety applications.
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*Visit this space to try out the model right now [`Drowsiness_Model_MobileViT_v2_Space`](https://huggingface.co/spaces/mosesb/drowsiness-detection-mobileViT-v2-demo).*
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## Model Details
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* **Architecture:** `mobilevitv2_200`
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* **Fine-tuned on:** A combined dataset for driver drowsiness detection.
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