Update README.md

README.md

@@ -18,6 +18,9 @@ model-index:
   results:
   - task:
       type: object-classification
+    dataset:
+      type: banknotes
+      name: Banknotes
     metrics:
     - type: precision
       name: Precision
@@ -33,7 +36,11 @@ model-index:
       value: 0.789
 ---
 
-<details><summary>Metrics</summary>
+<div align="center">
+  <img width="80%" src="model_predictions/prediction_50 EUR_20240923_190943.jpg" alt="Output Example">
+</div>
+
+<details open><summary>Model Metrics</summary>
 
 YOLO11m summary (fused): 303 layers, 20,037,742 parameters, 0 gradients, 67.7 GFLOPs
 
@@ -51,4 +58,15 @@ YOLO11m summary (fused): 303 layers, 20,037,742 parameters, 0 gradients, 67.7 GF
 | 50 EUR |  7     |   7       |  0.97   |   1    | 0.995 |  0.920   |
 | 100 EUR|  10    |   23      |  0.97   |   1    | 0.995 |  0.675   |
 
-</details>
+<div align="center">
+  <img width="60%" src="model_performance/results.png" alt="Results">
+  <img width="60%" src="model_performance/confusion_matrix_normalized.png" alt="Confusion Matrix Normalized">
+  <img width="60%" src="model_performance/labels.jpg" alt="Labels">
+  <img width="60%" src="model_performance/F1_curve.png" alt="F1 curve">
+  <img width="60%" src="model_performance/P_curve.png" alt="P curve">
+  <img width="60%" src="model_performance/R_curve.png" alt="R curve">
+  <img width="60%" src="model_performance/PR_curve.png" alt="PR curve">
+</div>
+
+
+</details>