metadata
license: apache-2.0
metrics:
- accuracy
- f1
base_model:
- google/vit-base-patch16-224-in21k
Returns with about 98.6% 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 0.9880 0.9835 0.9858 51062
woman 0.9836 0.9881 0.9858 51062
accuracy 0.9858 102124
macro avg 0.9858 0.9858 0.9858 102124
weighted avg 0.9858 0.9858 0.9858 102124