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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 59% 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 0.7803 0.7500 0.7649 180
3-9 0.7998 0.7998 0.7998 1249
10-19 0.5361 0.4236 0.4733 1086
20-29 0.6402 0.7221 0.6787 3026
30-39 0.4935 0.5083 0.5008 2099
40-49 0.4848 0.4386 0.4606 1238
50-59 0.5000 0.4814 0.4905 725
60-69 0.4497 0.4685 0.4589 286
more than 70 0.6897 0.1802 0.2857 111
accuracy 0.5892 10000
macro avg 0.5971 0.5303 0.5459 10000
weighted avg 0.5863 0.5892 0.5844 10000
``` |