SRIMATHI E
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README.md
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This project utilizes a Vision Transformer (ViT) model to classify cattle skin diseases, leveraging a curated dataset that was augmented to enhance diversity and robustness. The dataset, enriched through data augmentation techniques, provides a varied and comprehensive collection of high-resolution images. By employing the ViT model, trained on this augmented dataset, the project aims to enhance veterinarians' diagnostic accuracy. This innovative approach not only optimizes disease recognition but also contributes to the advancement of machine learning applications in veterinary medicine.
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# You can get more details with the help of the following ChatBot:
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## Example Images
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This project utilizes a Vision Transformer (ViT) model to classify cattle skin diseases, leveraging a curated dataset that was augmented to enhance diversity and robustness. The dataset, enriched through data augmentation techniques, provides a varied and comprehensive collection of high-resolution images. By employing the ViT model, trained on this augmented dataset, the project aims to enhance veterinarians' diagnostic accuracy. This innovative approach not only optimizes disease recognition but also contributes to the advancement of machine learning applications in veterinary medicine.
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# You can get more details with the help of the following ChatBot:
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https://huggingface.co/spaces/Elthra/ChatBot_Assistant
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## Example Images
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