Update README.md

README.md

@@ -19,6 +19,13 @@ base_model:
 A fine-tuned Mask R-CNN model (via LayoutParser/Detectron2) for detecting layout  
 elements in historical Swedish medical journal pages.
 
+This model was developed as part of the research project:  
+**Communicating Medicine (SweMPer): Digitalisation of Swedish Medical Periodicals, 1781–2011**  
+(Project ID: **IN22-0017**), funded by **Riksbankens Jubileumsfond**.
+
+🔗 Project page:  
+https://www.uu.se/en/department/history-of-science-and-ideas/research/research-projects-and-programmes/communicating-medicine-swemper
+
 ## Model Details
 
 - **Model type:** Mask R-CNN (ResNet backbone)  
@@ -53,6 +60,7 @@ Follow instructions at:
 https://detectron2.readthedocs.io/en/latest/tutorials/training.html
 
 ### Inference
+
 ```python
 import cv2
 import layoutparser as lp
@@ -103,9 +111,15 @@ plt.show()
 
 ## Acknowledgements
 
+This work was carried out within the project:  
+**Communicating Medicine (SweMPer): Digitalisation of Swedish Medical Periodicals, 1781–2011**  
+(Project ID: **IN22-0017**), funded by **Riksbankens Jubileumsfond**.
+
+We gratefully acknowledge the support of the funder and project collaborators.
+
 This model builds upon the excellent work of:
 
-- [Detectron2](https://github.com/facebookresearch/detectron2/tree/main)
-- [LayoutParser](https://github.com/Layout-Parser/layout-parser?tab=readme-ov-file)
+- [Detectron2](https://github.com/facebookresearch/detectron2/tree/main)  
+- [LayoutParser](https://github.com/Layout-Parser/layout-parser?tab=readme-ov-file)  
 
 We thank the contributors and maintainers of these projects for making their tools publicly available and supporting research.