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README.md

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----
+```python
 language:
 - en
 license:
@@ -17,10 +17,22 @@ annotations_creators:
 source_datasets:
 - original
 paperswithcode_id: ddr
----
+```
 
 # DDR - Diabetic Retinopathy Detection Dataset
 
+<table align="center">
+    <tr>
+        <td width="100%" align="center">
+            <img src="rm_images/Merged_Fundus_Images_with_Captions.jpg" alt="Merged Dataset Samples" style="max-width: 100%; height: auto;">
+            <br>
+            <p><strong>Image:</strong> Dataset Samples.</p>
+        </td>
+    </tr>
+</table>
+
+---
+
 The **DDR (Diabetic Retinopathy Detection)** dataset is a large-scale collection of retinal fundus images designed for training and evaluating algorithms in **diabetic retinopathy (DR) grading** and **lesion-level segmentation**. It provides both image-level DR labels and pixel-level annotations of pathological features, making it suitable for classification and segmentation tasks.
 
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