Update README.md

README.md

@@ -9,6 +9,21 @@ base_model:
 - google/vit-base-patch16-224-in21k
 pipeline_tag: image-classification
 ---
-Detects gender based on an image.
+Detects gender with about 88% accuracy based on an image.
 
-See https://www.kaggle.com/code/dima806/gender-image-classification-vit for details.
+See https://www.kaggle.com/code/dima806/gender-image-classification-vit for details.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/NLKajM7gBl16afwtMGLpD.png)
+
+```
+Classification report:
+
+              precision    recall  f1-score   support
+
+      Female     0.8563    0.8938    0.8746       480
+        Male     0.8978    0.8615    0.8793       520
+
+    accuracy                         0.8770      1000
+   macro avg     0.8770    0.8776    0.8770      1000
+weighted avg     0.8779    0.8770    0.8770      1000
+```