Create README.md

README.md

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+---
+license: llama2
+datasets:
+- saberzl/SID_Set
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- saberzl/SIDA-7B
+pipeline_tag: image-segmentation
+---
+
+# SIDA Model Card
+
+## Model details
+
+**Model type:**
+SIDA-description is a model fine-tuned from SIDA, designed for explanation. If you want to reproduce the detection and localization results, please use [SIDA-7B](https://huggingface.co/saberzl/SIDA-7B) instead.
+
+**Model date:**
+SIDA-7B-description was trained in Febuary 2025.
+
+**Paper or resources for more information:**
+
+Paper: https://arxiv.org/pdf/2412.04292
+
+Resource: https://github.com/hzlsaber/SIDA
+
+## License
+Llama 2 is licensed under the LLAMA 2 Community License, 
+Copyright (c) Meta Platforms, Inc. All Rights Reserved.
+
+## Trained Data
+
+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).
+
+## Citation Information
+
+If you find this dataset useful, please consider citing our paper:
+
+```
+@misc{huang2025sidasocialmediaimage,
+      title={SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model}, 
+      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},
+      year={2025},
+      booktitle={Conference on Computer Vision and Pattern Recognition}
+}
+```