| --- |
| license: apache-2.0 |
| datasets: |
| - nateraw/fairface |
| metrics: |
| - accuracy |
| - f1 |
| base_model: |
| - google/vit-base-patch16-224-in21k |
| pipeline_tag: image-classification |
| --- |
| Detects gender with about 93.4% accuracy based on an image. |
|
|
| See https://www.kaggle.com/code/dima806/gender-image-classification-vit for details. |
|
|
|  |
|
|
| ``` |
| Classification report: |
| |
| precision recall f1-score support |
| |
| Female 0.9531 0.9051 0.9285 4720 |
| Male 0.9188 0.9602 0.9391 5280 |
| |
| accuracy 0.9342 10000 |
| macro avg 0.9360 0.9327 0.9338 10000 |
| weighted avg 0.9350 0.9342 0.9341 10000 |
| ``` |
