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  - Classifier
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  - SigLIP2
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  # **Deepfake-Quality-Classifier-SigLIP2**
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@@ -88,6 +89,4 @@ The **Deepfake-Quality-Classifier-SigLIP2** model is designed to evaluate the qu
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  - **Deepfake Quality Assessment:** Identifying whether a generated deepfake meets high-quality standards or contains artifacts and inconsistencies.
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  - **Content Moderation:** Assisting in filtering low-quality deepfake images in digital media platforms.
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  - **Forensic Analysis:** Supporting researchers and analysts in assessing the credibility of synthetic images.
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- - **Deepfake Model Benchmarking:** Helping developers compare and improve deepfake generation models.
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  - Classifier
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  - SigLIP2
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  ---
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+ ![13.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/K1tNeqC5aS_eZ37OYyhhb.png)
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  # **Deepfake-Quality-Classifier-SigLIP2**
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  - **Deepfake Quality Assessment:** Identifying whether a generated deepfake meets high-quality standards or contains artifacts and inconsistencies.
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  - **Content Moderation:** Assisting in filtering low-quality deepfake images in digital media platforms.
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  - **Forensic Analysis:** Supporting researchers and analysts in assessing the credibility of synthetic images.
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+ - **Deepfake Model Benchmarking:** Helping developers compare and improve deepfake generation models.