| | --- |
| | license: apache-2.0 |
| | metrics: |
| | - accuracy |
| | - f1 |
| | base_model: |
| | - google/vit-base-patch16-224-in21k |
| | --- |
| | 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 |
| | ``` |
