Update README.md

README.md

@@ -4,20 +4,22 @@ metrics:
 - accuracy
 - f1
 ---
-Returns age group with about 90% accuracy based on facial image.
+Returns age group with about 91% accuracy based on facial image.
 
 See https://www.kaggle.com/code/dima806/age-group-image-detection-vit for more details.
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/Fp88lO_Z8KNt1JNzHyg1s.png)
+
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-      MIDDLE     0.8162    0.9250    0.8672      1080
-       YOUNG     0.9583    0.8511    0.9015      1081
-         OLD     0.9537    0.9334    0.9434      1081
+      MIDDLE     0.8316    0.9278    0.8771      4321
+       YOUNG     0.9598    0.8563    0.9051      4322
+         OLD     0.9552    0.9477    0.9515      4322
 
-    accuracy                         0.9031      3242
-   macro avg     0.9094    0.9032    0.9040      3242
-weighted avg     0.9094    0.9031    0.9041      3242
+    accuracy                         0.9106     12965
+   macro avg     0.9155    0.9106    0.9112     12965
+weighted avg     0.9155    0.9106    0.9112     12965
 ```