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---
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
``` |