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.
Classification report:
precision recall f1-score support
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 0.9106 12965
macro avg 0.9155 0.9106 0.9112 12965
weighted avg 0.9155 0.9106 0.9112 12965
- Downloads last month
- 4,694
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for dima806/faces_age_detection
Base model
google/vit-base-patch16-224-in21k