metadata
license: apache-2.0
metrics:
- accuracy
- f1
base_model:
- google/vit-base-patch16-224-in21k
Returns with about 99.2% 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.
Classification report:
precision recall f1-score support
man 0.9919 0.9921 0.9920 7071
woman 0.9921 0.9919 0.9920 7072
accuracy 0.9920 14143
macro avg 0.9920 0.9920 0.9920 14143
weighted avg 0.9920 0.9920 0.9920 14143