Update README.md

README.md

@@ -49,20 +49,6 @@ The Material_classification_2U dataset consists of 150 256x256 color images, cat
 English 
 
 ## Dataset Structure
-### Dataset Structure
-
-- **Total Images:** 150
-  - **Image Size:** 256x256 pixels
-  - **Color:** RGB (Color images)
-- **Classes:** 5
-  - **Brick:** 30 images
-  - **Metal:** 30 images
-  - **Paper:** 30 images
-  - **Plastic:** 30 images
-  - **Wood:** 30 images
-- **Splits:**
-  - **Train:** 120 images (24 per class)
-  - **Test:** 30 images (6 per class)
 
 ### Data Instances
 
@@ -87,8 +73,16 @@ A sample from the training set is provided below:
 
 ### Data Splits
 
-Train and Test
+The dataset is divided into two main subsets: Train and Test.
 
+- **Train Split:**
+  - **Number of Images:** 120
+  - **Distribution:** 24 images per class
+- **Test Split:**
+  - **Number of Images:** 30
+  - **Distribution:** 6 images per class
+
+Both splits are stratified, ensuring that each class is proportionally represented in both the Train and Test subsets. This means that the percentage of images for each class remains consistent across both splits, providing a balanced and representative distribution for model training and evaluation.