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---
license: apache-2.0
metrics:
- accuracy
- f1
base_model:
- google/vit-base-patch16-224-in21k
pipeline_tag: image-classification
library_name: transformers
datasets:
- nateraw/fairface
---
Detects age group with about 58% accuracy based on an image.
See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
```
Classification report:
precision recall f1-score support
0-2 0.8345 0.6444 0.7273 180
3-9 0.7698 0.8327 0.8000 1249
10-19 0.5395 0.3462 0.4218 1086
20-29 0.6201 0.7548 0.6809 3026
30-39 0.4790 0.4774 0.4782 2099
40-49 0.4826 0.4031 0.4393 1238
50-59 0.4899 0.5021 0.4959 725
60-69 0.4215 0.3846 0.4022 286
more than 70 0.0000 0.0000 0.0000 111
accuracy 0.5791 10000
macro avg 0.5152 0.4828 0.4939 10000
weighted avg 0.5653 0.5791 0.5671 10000
``` |