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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 fine-tuned from LISA, designed to detect and localize tampered regions in images. |
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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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Paper: https://arxiv.org/pdf/2412.04292 |
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Resource: 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 Data |
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SIDA was trained on SID_Set, which consists of real images, tampered images, and fully synthetic images. More information is available [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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``` |
