Update README with resource links and license

README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: cc-by-4.0
 task_categories:
 - video-classification
 tags:
@@ -85,16 +85,24 @@ configs:
   - split: test
     path: splits/pvd_vs_rd/test.csv
 ---
-# ERDES: Eye Retinal Detachment Ultrasound Dataset  
+# ERDES: Eye Retinal Detachment Ultrasound Dataset
 
-## 📌 Introduction  
-**ERDES** is a large-scale, publicly available dataset of **3D ocular ultrasound videos** for retinal and macular detachment classification. It was introduced in our paper **[ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound](https://huggingface.co/papers/2508.04735v2)**. The corpus consists of **5,381 expertly annotated video clips** totaling to **5 hours and 10 minutes**, providing a valuable resource for medical AI research in ophthalmology.  
+| Resource | Link |
+|----------|------|
+| Website | [![Website](https://img.shields.io/badge/Website-ERDES-green)](https://osupcvlab.github.io/ERDES/) |
+| Paper | [![arXiv](https://img.shields.io/badge/arXiv-2508.04735-b31b1b.svg)](https://arxiv.org/abs/2508.04735) |
+| Checkpoints | [![HF Checkpoints](https://img.shields.io/badge/🤗-Checkpoints-yellow)](https://huggingface.co/collections/pcvlab/erdes-ocular-ultrasound-classification-all-tasks) [![Zenodo](https://img.shields.io/badge/Zenodo-Checkpoints-blue)](https://zenodo.org/records/18821031) |
+| Dataset | [![Zenodo](https://img.shields.io/badge/Zenodo-Dataset-blue)](https://zenodo.org/records/18644370) |
+| Code | [![GitHub](https://img.shields.io/badge/GitHub-OSUPCVLab/ERDES-black?logo=github)](https://github.com/OSUPCVLab/ERDES) |
 
-### Key Features:  
-✅ **5381 labeled ultrasound video clips**  
-✅ **Expert annotations for retinal detachment (RD) and macular status**  
-✅ **Structured classification (Normal, RD, PVD, macula-detached/intact)**  
-✅ **Preprocessed for privacy and consistency**  
+## 📌 Introduction
+**ERDES** is a large-scale, publicly available dataset of **3D ocular ultrasound videos** for retinal and macular detachment classification. It was introduced in our paper **[ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound](https://arxiv.org/abs/2508.04735)**. The corpus consists of **5,381 expertly annotated video clips** totaling **5 hours and 10 minutes**, providing a valuable resource for medical AI research in ophthalmology.
+
+### Key Features:
+- **5,381 labeled ultrasound video clips**
+- **Expert annotations for retinal detachment (RD) and macular status**
+- **Structured classification (Normal, RD, PVD, macula-detached/intact)**
+- **Preprocessed for privacy and consistency**  
 
 ---
 
@@ -108,21 +116,23 @@ Medical video datasets for AI are scarce despite their clinical importance. ERDE
 
 ## 📊 Dataset Overview  
 
-### **1. Data Structure**  
-Videos are categorized into:  
-- **Normal**  
-- **Retinal Detachment (RD)**  
-  - *Macula-detached*: 
-    - Bilateral
-    - Temporal detachment  
-  - *Macula-intact*: 
-    - Nasal
-    - Temporal detachment  
-- **Posterior Vitreous Detachment (PVD)**  
-
-Folder structure reflects labels: 
-<div align="center"> 
-<img src="media/folder_structure.PNG" alt="Data Statistics" width="150" />
+### **1. Data Structure**
+Videos are categorized into two primary groups:
+
+**Non-RD (Non-Retinal Detachment):**
+- Normal
+- Posterior Vitreous Detachment (PVD)
+
+**RD (Retinal Detachment):**
+- Macula-Detached
+  - Bilateral (nasal and temporal regions involved)
+  - Temporal detachment only
+- Macula-Intact
+  - Nasal detachment
+  - Temporal detachment
+
+<div align="center">
+<img src="media/folder_structure.png" alt="Folder Structure" width="150" />
 </div>
 
 ### **2. Annotations**  
@@ -134,14 +144,10 @@ Each clip is labeled by sonologists for:
 <img src="media/labeling_rd.png" alt="Data Statistics" width="500" />
 </div>
 
-### **3. Preprocessing**  
-- **Privacy**: PHI removed using YOLO-based globe detection.  
-- **Consistency**: Cropped to the ocular ROI.  
-- **Format**: MP4 videos.  
-
-<div align="center">
-<img src="media/data_stats.png" alt="Data Statistics" width="500" />
-</div>
+### **3. Preprocessing**
+- **Privacy**: PHI removed using YOLOv8-based globe detection.
+- **Consistency**: Cropped to the ocular ROI.
+- **Format**: MP4 videos.
 
 ---
 
@@ -157,20 +163,20 @@ dataset = load_dataset("pcvlab/erdes")
 ---
 
 ## 🛠️ Code & Baselines  
-Repository: we open source our baseline experimetns on our **[GitHub](https://github.com/OSUPCVLab/ERDES)** repo. Which includes:  
+We open source our baseline experiments on our **[GitHub](https://github.com/OSUPCVLab/ERDES)** repo, which includes:  
 
 - Baseline 3D CNN and ViT models for classification.
 - End-to-end diagnostic pipeline for macular detachment.   
 
 ---
 
-## 📜 Citation  
-If you use ERDES, cite:  
+## 📜 Citation
+If you use ERDES, please cite:
 ```bibtex
-@inproceedings{navardocular,
-  title={A Benchmark Dataset for Retinal Detachment Classification in Spatiotemporal Ocular Ultrasound},
-  author={Navard, Pouyan and Ozkut, Yasemin and Adhikari, Srikar and Yilmaz, Alper},
-  booktitle={Nature Scientific Data (Under Review)},
+@article{ozkuterdes,
+  title={ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound},
+  author={Ozkut, Yasemin and Navard, Pouyan and Adhikari, Srikar and Situ-LaCasse, Elaine and Acu{\~n}a, Josie and Yarnish, Adrienne A and Yilmaz, Alper},
+  journal={arXiv preprint arXiv:2508.04735},
   year={2025}
 }
 ```