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README.md
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---
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license: llama2
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---
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license: llama2
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datasets:
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- saberzl/SID_Set
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- xinlai/LISA-13B-llama2-v1
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pipeline_tag: image-segmentation
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---
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# SIDA Model Card
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## Model details
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**Model type:**
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SIDA is a model trained on pre-training LISA, which can be used to detection and localization the tampered region of given image.
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**Model date:**
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SIDA-13B was trained in Febuary 2025.
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**Paper or resources for more information:**
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https://github.com/hzlsaber/SIDA
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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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## Trained Datas
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SIDA trained on SID_Set, which consists of real images, tampered images, and full synthetic images. You can find more information [here](https://huggingface.co/datasets/saberzl/SID_Set)
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## Citation Information
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If you find this dataset useful, please consider citing our paper:
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```
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@misc{huang2025sidasocialmediaimage,
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title={SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model},
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author={Zhenglin Huang and Jinwei Hu and Xiangtai Li and Yiwei He and Xingyu Zhao and Bei Peng and Baoyuan Wu and Xiaowei Huang and Guangliang Cheng},
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year={2025},
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booktitle={Conference on Computer Vision and Pattern Recognition}
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}
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```
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