Update README.md

README.md

@@ -122,20 +122,51 @@ Grad-CAM overlays highlight image regions most responsible for model predictions
 *Heatmaps visualize key decision regions for each sample.*
 
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+## Visualizations 
 
-## 📊 Visualizations
+Here are key visualizations from the training and evaluation process, including loss curves, accuracy plots, and Grad-CAM++ overlays that illustrate what the model focuses on.
 
-Key assets (see repo for all):
+---
+
+### 🎯 Accuracy & F1 Score per Epoch
+Visualizing training and validation accuracy alongside macro F1 score.
+
+![Accuracy and F1](metrics_acc_f1_beautiful.png)
+
+---
+
+### 📉 Training vs Validation Loss
+Clear comparison of model learning over time.
+
+![Loss Curves](metrics_loss_beautiful.png)
+
+---
+
+### 📈 Precision & Recall Trends
+Macro and weighted precision/recall for detailed class-wise performance.
+
+![Precision and Recall](metrics_precision_recall_beautiful.png)
+
+---
+
+### 📊 Top-3 and Top-5 Accuracy Over Epochs
+Measuring how often the correct class is within the top predictions.
+
+![Top-k Accuracy](metrics_topk_beautiful.png)
+
+---
+
+### 🏆 Top-20 Most Accurate Classes
+Sorted bar plot of classes the model predicts with the highest accuracy.
+
+![Top 20 Accuracy](top20_accuracy_beautiful.png)
+
+---
+
+### 🧩 Confusion Matrix
+High-resolution heatmap showing misclassifications and accuracy by class.
 
-| Visualization                    | Description                                 |
-|-----------------------------------|---------------------------------------------|
-| `confusion_matrix_beautiful.png`  | Confusion matrix (validation set)           |
-| `metrics_acc_f1_beautiful.png`    | Training & validation accuracy/F1 curves    |
-| `metrics_loss_beautiful.png`      | Loss curves                                 |
-| `metrics_precision_recall_beautiful.png` | Precision/Recall by epoch           |
-| `metrics_topk_beautiful.png`      | Top-3/Top-5 accuracy                        |
-| `top20_accuracy_beautiful.png`    | Top-20 class accuracy                       |
-| `gradcam_grid.png`                | Grad-CAM visualizations grid                |
+![Confusion Matrix](confusion_matrix_beautiful.png)
 
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