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  ---
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- license: llama2
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  language:
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  - en
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- pipeline_tag: image-text-to-text
 
 
 
 
 
 
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  ---
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- # LLaVA-Deepfake Model Card
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-
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  ## Model details
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- **Model type:**
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- LLaVA-Deepfake is a modified version of [LLaVA](https://huggingface.co/liuhaotian/llava-v1.5-7b) v1.5. It is trained on deepfake datasets for forgery detection.
 
 
 
 
 
 
 
 
 
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- ## License
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- Llama 2 is licensed under the LLAMA 2 Community License,
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- Copyright (c) Meta Platforms, Inc. All Rights Reserved.
 
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+ license: mit
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  language:
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  - en
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+ pipeline_tag: visual-question-answering
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+ metrics:
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+ - accuracy
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+ - bleu
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+ - rouge
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+ base_model:
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+ - meta-llama/Llama-2-7b-hf
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  ---
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  ## Model details
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+ **Model type:** M2F2-Det is a deepfake (i.e., forged facial image) detection model, which produces both fake score and explanations. The model is trained on
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+ [FaceForensics++](https://github.com/ondyari/FaceForensics) and [Deepfake Detection VQA](https://arxiv.org/pdf/2402.00126).
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+ **Model date:** This preliminary version has been trained in January 2025. More updates can be expected.
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+ **Project page:** https://github.com/CHELSEA234/M2F2_Det
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+ **Paper:** [Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector](https://huggingface.co/papers/2410.02761) CVPR2025 **Oral** presentation.
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+ **Where to send questions or comments about the model:**
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+ Please feel free to contact Xiao Guo ([email protected]) with any questions or to post an issue on our code base.
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+ [https://github.com/zhipeixu/FakeShield/issues](https://github.com/zhipeixu/FakeShield/issues)