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@@ -56,17 +56,6 @@ These models are designed to identify manipulated media content at the frame lev
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  They are well-suited for deployment in digital forensics, content moderation, and research scenarios where image authenticity is critical.
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- ## 📈 Sample Results (on Validation Set)
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- | Model Name | Best Validation Accuracy |
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- |--------------------------|---------------------------|
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- | `vit_small_patch32_224` | 88.29% |
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- | `vit_large_patch16_224` | 89.13% |
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- | `vit_huge_patch14_224` | 90.45% |
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  ## 📄 License
 
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  They are well-suited for deployment in digital forensics, content moderation, and research scenarios where image authenticity is critical.
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  ## 📄 License