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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
---
Detects age group with about 54% 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 0.0000 0.0000 0.0000 180
3-9 0.6799 0.8623 0.7603 1249
10-19 0.4928 0.2201 0.3043 1086
20-29 0.5780 0.7852 0.6658 3026
30-39 0.4461 0.4202 0.4328 2099
40-49 0.4589 0.3740 0.4121 1238
50-59 0.4213 0.4800 0.4487 725
60-69 0.0000 0.0000 0.0000 286
more than 70 0.0000 0.0000 0.0000 111
accuracy 0.5385 10000
macro avg 0.3419 0.3491 0.3360 10000
weighted avg 0.4943 0.5385 0.5039 10000
``` |