Update README.md

README.md

@@ -6,24 +6,49 @@ pipeline_tag: image-classification
 datasets:
 - Rokyuto/Banknotes
 tags:
+- yolov11
 - banknotes
 - banknotes classification
-- yolov11
 widget:
   - text: Banknotes Classification
     output:
       url: model_predictions/prediction_50 EUR_20240923_190943.jpg
-metrics:
-- type: precision
-  name: Precision
-  value: 0.976
-- type: recall
-  name: Recall
-  value: 0.974
-- type: mAP50
-  name: mAP50
-  value: 0.991
-- type: mAP50-95
-  name: mAP50-95
-  value: 0.789
----
+model-index:
+- name: banknotes-recognizer
+  results:
+  - task:
+      type: object-classification
+    metrics:
+    - type: precision
+      name: Precision
+      value: 0.976
+    - type: recall
+      name: Recall
+      value: 0.974
+    - type: mAP50
+      name: mAP50
+      value: 0.991
+    - type: mAP50-95
+      name: mAP50-95
+      value: 0.789
+---
+
+<details><summary>Metrics</summary>
+
+YOLO11m summary (fused): 303 layers, 20,037,742 parameters, 0 gradients, 67.7 GFLOPs
+
+| Class  | Images | Instances |  Box(P) |   R   | mAP50 | mAP50-95 |
+|--------|--------|-----------|---------|-------|-------|----------|
+| all    |  110   |   256     |  0.969  | 0.977 | 0.989 |  0.801   |
+| 5 BGN  |  10    |   35      |  0.969  |  0.9   | 0.975 |  0.712   |
+| 10 BGN |  9     |   29      |  0.96   |   1    | 0.976 |  0.773   |
+| 20 BGN |  7     |   25      |  0.996  | 0.96  | 0.993 |  0.795   |
+| 50 BGN |  7     |   24      |  0.996  | 0.966 | 0.989 |  0.801   |
+| 100 BGN|  13    |   41      |  0.975  | 0.955 | 0.982 |  0.823   |
+| 5 EUR  |  18    |   19      |  0.863  | 0.991 | 0.986 |  0.837   |
+| 10 EUR |  14    |   38      |  0.998  |   1    | 0.995 |  0.787   |
+| 20 EUR |  15    |   15      |  0.986  |   1    | 0.995 |  0.861   |
+| 50 EUR |  7     |   7       |  0.97   |   1    | 0.995 |  0.920   |
+| 100 EUR|  10    |   23      |  0.97   |   1    | 0.995 |  0.675   |
+
+</details>