Update model card: Jason37437 links, add Google Drive mirror

README.md

@@ -13,7 +13,7 @@ pipeline_tag: image-segmentation
 datasets:
 - DocTamperV1
 - vankey/RealText-V2
-- mps-lab/RealText-V2-Syn25k
+- Jason37437/RealText-V2-Syn25k
 metrics:
 - f1
 ---
@@ -35,12 +35,12 @@ metrics:
 
 ## Usage
 
-**Repository:** [GitHub](https://github.com/KahimWong/GenText-Forensics-3rd-Place)  |  **Checkpoint:** [mps-lab/SEED](https://huggingface.co/mps-lab/SEED)
+**Repository:** [GitHub](https://github.com/KahimWong/GenText-Forensics-3rd-Place)  |  **Checkpoint:** [Jason37437/SEED](https://huggingface.co/Jason37437/SEED) / [Google Drive](https://drive.google.com/file/d/1XRbcE2eEdSBdQbyiImg5w9Dn5oMRMKhv/view?usp=drive_link)
 
 ```python
 from model.hf_wrapper import EoMTForTamperingDetection
 
-model = EoMTForTamperingDetection.from_pretrained("mps-lab/SEED")
+model = EoMTForTamperingDetection.from_pretrained("Jason37437/SEED")
 model.eval()
 
 # The model outputs:
@@ -51,36 +51,24 @@ model.eval()
 
 ## Performance
 
-Evaluated on 1,000 samples per dataset at 512×512:
-
-### Detection (image-level F1)
-| Dataset | F1 | Accuracy | Precision | Recall |
-|---------|-----|----------|-----------|--------|
-| T-SROIE | 0.88 | 0.88 | 0.90 | 0.86 |
-| Tampered-IC13 | 0.91 | 0.95 | 0.98 | 0.86 |
-| RealTextManipulation | 0.36 | 0.63 | 0.49 | 0.28 |
-| OSTF | 0.57 | 0.92 | 0.56 | 0.58 |
-
 ### Localization (pixel-level F1)
 | Dataset | F1 |
 |---------|-----|
-| T-SROIE | 0.39 |
-| Tampered-IC13 | 0.26 |
-| RealTextManipulation | 0.04 |
-| OSTF | 0.05 |
-
-> **Note:** This is a lightweight LoRA rank-1 model trained for 5,000 steps. Higher localization performance can be achieved with larger LoRA ranks and longer training.
+| T-SROIE | 0.782 |
+| OSTF | 0.718 |
+| TPIC-13 | 0.798 |
+| RTM | 0.178 |
+| Avg | 0.619 |
 
-## Citation
+### Detection (image-level F1)
+| Dataset | F1 |
+|---------|-----|
+| T-SROIE | 0.738 |
+| OSTF | 0.832 |
+| TPIC-13 | 0.930 |
+| RTM | 0.207 |
+| Avg | 0.677 |
 
-```bibtex
-@software{seed2025,
-  title={SEED: Simple & Efficient Expert Detector for Document Forgery},
-  author={Mobile Perception Systems Lab, TU/e},
-  year={2025},
-  url={https://huggingface.co/mps-lab/SEED}
-}
-```
 
 ## License