Update README.md

README.md

@@ -71,18 +71,21 @@ x = Dropout(0.4)(x)
 outputs = Dense(4, activation='softmax')(x)
 
 model = Model(inputs=base_model.input, outputs=outputs)
-
 # Load Weights
 model.load_weights("efficientnetb0_finetuned_brain_mri.keras")
 
+📊 Dataset & Training Data
+
+    Source: Brain Tumor MRI Dataset (Kaggle)
+
+    Data Distribution:
+
+        Training Set: MRI images augmented with rotation, shift, zoom, and horizontal flips.
+
+        Testing Set: Independent brain MRI scans for evaluation.
 
-## 📊 Dataset & Training Data
+        Classes: 4 categories (Glioma, Meningioma, No Tumor, Pituitary).
 
-- **Source:** Brain Tumor MRI Dataset (Kaggle)
-- **Data Distribution:**
-  - **Training Set:** MRI images augmented with rotation, shift, zoom, and horizontal flips.
-  - **Testing Set:** Independent brain MRI scans for evaluation.
-- **Classes:** 4 categories (Glioma, Meningioma, No Tumor, Pituitary).
 
 ### Confusion Matrix & Training Performance
 ![Confusion Matrix](https://huggingface.co/starpreeda/BrainTumorTest/resolve/main/Figure_1.png)