Link model card to paper and add citation
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by nielsr HF Staff - opened
README.md
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---
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language: en
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license: mit
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library_name: pytorch
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tags:
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- document-forgery-detection
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- tampering-detection
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- image-manipulation
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- vision-transformer
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- lora
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pipeline_tag: image-segmentation
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datasets:
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- DocTamperV1
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- vankey/RealText-V2
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- Jason37437/RealText-V2-Syn25k
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metrics:
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- f1
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---
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# SEED Detector
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**SEED Detector** is a lightweight vision transformer model for document forgery detection. It localizes tampered regions in document images and classifies images as real or forged.
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## Architecture
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| RTM | 0.207 |
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| Avg | 0.677 |
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## License
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MIT License.
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base_model: facebook/dinov3-vitl16-pretrain-lvd1689m
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datasets:
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- DocTamperV1
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- vankey/RealText-V2
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- Jason37437/RealText-V2-Syn25k
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language: en
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library_name: pytorch
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license: mit
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metrics:
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- f1
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pipeline_tag: image-segmentation
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tags:
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- document-forgery-detection
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- tampering-detection
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- image-manipulation
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- vision-transformer
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- lora
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---
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# SEED Detector
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This repository contains the official detector model for **SEED**, presented in the paper [SEED: Simple ViT and Evolving Harness for Explainable Text Forgery Detection](https://huggingface.co/papers/2606.21138).
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**SEED Detector** is a lightweight vision transformer model for document forgery detection. It localizes tampered regions in document images and classifies images as real or forged.
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## Architecture
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| RTM | 0.207 |
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| Avg | 0.677 |
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## Citation
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```bibtex
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@article{wong2026seed,
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title={SEED: Simple ViT and Evolving Harness for Explainable Text Forgery Detection},
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author={Wong, Kahim and others},
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journal={arXiv preprint arXiv:2606.21138},
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year={2026}
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}
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```
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## License
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MIT License.
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