README.md

---
license: apache-2.0
metrics:
- accuracy
- f1
base_model:
- google/vit-base-patch16-224-in21k
---
Returns with about 98.7% accuracy whether the face belongs to man or woman based on face image.

See https://www.kaggle.com/code/dima806/man-woman-face-image-detection-vit for more details.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/t9MgehgAAZEJAXOebhfjO.png)

```
Classification report:

              precision    recall  f1-score   support

         man     0.9885    0.9857    0.9871     51062
       woman     0.9857    0.9885    0.9871     51062

    accuracy                         0.9871    102124
   macro avg     0.9871    0.9871    0.9871    102124
weighted avg     0.9871    0.9871    0.9871    102124
```