diff --git a/README.md b/README.md
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+# 🩺 PALM — Pathologic Myopia Fundus Image Dataset
+
+![Example Fundus 1](Training/Annotation/Disc_Fovea_Illustration/H0001.jpg)
+![Example Fundus 2](Training/Annotation/Disc_Fovea_Illustration/H0002.jpg)
+
+> *The above fundus photographs are illustrative examples similar to those in the PALM dataset.*
+
+---
+
+## 📘 Overview
+
+**PALM (Pathologic Myopia)** is a publicly available fundus image dataset developed for detecting **pathologic myopia (PM)** and analyzing associated retinal lesions and anatomical structures.
+
+It was released for the **Pathologic Myopia Challenge (PALM)**, hosted by the **Chinese Academy of Sciences** and **Sun Yat-sen University**, and published on **IEEE DataPort**.
+The dataset provides both **classification** and **segmentation** tasks, making it valuable for multi-task ophthalmic AI research.
+
+🔗 **Official Sources:**
+- [PALM Challenge (IEEE DataPort)](https://ieee-dataport.org/documents/palm-pathologic-myopia-challenge)
+- [PALM Dataset Publication (PMC)](https://pmc.ncbi.nlm.nih.gov/articles/PMC10799845/)
+- [ResearchGate Dataset Overview](https://www.researchgate.net/figure/Folder-organization-of-our-PALM-dataset_fig6_377564136)
+
+---
+
+## 📊 Dataset Summary
+
+| Feature | Description |
+|----------|-------------|
+| **Images** | 1,200 color fundus photographs |
+| **Labels** | Binary — *Pathologic Myopia (PM)* or *Non-PM* |
+| **Annotations** | Optic disc boundary, fovea location, and lesion masks (atrophy, detachment) |
+| **Resolution** | Varies (45° field-of-view fundus images) |
+| **Format** | JPEG |
+| **Tasks** | Classification, Segmentation |
+| **Source Institutions** | Multiple ophthalmic centers in China |
+| **License** | Free for research and educational use |
+| **Released** | 2019 (PALM Challenge) |
+
+---
+
+## 📁 Folder Structure
+
+PALM/
+├── images/
+│ ├── train/
+│ ├── validation/
+│ └── test/
+├── annotations/
+│ ├── optic_disc_masks/
+│ ├── lesion_masks/
+│ └── fovea_locations.csv
+├── labels.csv
+└── README.md
+
+
+---
+
+## 🩸 Labels and Annotations
+
+- **Classification Label:**
+  - `1` = Pathologic Myopia (PM)
+  - `0` = Non-Pathologic (Normal)
+
+- **Segmentation Annotations:**
+  - Optic disc boundaries
+  - Fovea coordinates
+  - Lesion masks for:
+    - Patchy atrophy
+    - Retinal detachment
+    - Peripapillary atrophy
+
+---
+
+## 🧠 Research Applications
+
+PALM is designed for:
+
+- **Pathologic Myopia detection** from fundus images
+- **Segmentation** of optic disc, fovea, and lesion regions
+- **Multi-task learning** combining classification and segmentation
+- **Explainable AI** studies on high-myopia pathology
+
+---
+
+## ⚙️ Limitations
+
+- Limited image count (~1,200)
+- Variability in camera type and illumination
+- Binary labeling (PM vs Non-PM) does not cover all clinical myopia subtypes
+- Lesion annotations may need preprocessing for some segmentation frameworks
+
+---
+
+## 📥 Access and Citation
+
+### 🔗 Access
+Dataset available via official IEEE DataPort page:
+👉 [https://ieee-dataport.org/documents/palm-pathologic-myopia-challenge](https://ieee-dataport.org/documents/palm-pathologic-myopia-challenge)
+
+### 📄 Citation
+
+If you use PALM, please cite:
+Fang H., Li F., Wu J., Fu H., Sun X., Orlando J. I., Bogunović H., Zhang X., Xu Y.
+PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.
+IEEE DataPort, 2019.
+
+---
+
+## 🧾 License
+
+The PALM dataset is made available **for research and educational use only**.
+Redistribution or commercial use requires permission from the dataset authors.
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