metadata
license: apache-2.0
metrics:
- accuracy
- f1
Returns age bin based on a facial image.
See https://www.kaggle.com/code/dima806/facial-age-years-detection-vit for more details.
Classification report:
precision recall f1-score support
01 0.6281 0.9054 0.7417 222
02 0.3854 0.5000 0.4353 222
03 0.7121 0.2117 0.3264 222
04 0.8462 0.0495 0.0936 222
05 0.4567 0.8559 0.5956 222
06-07 0.6808 0.6502 0.6651 223
08-09 0.6111 0.6413 0.6258 223
10-12 0.5833 0.5676 0.5753 222
13-15 0.6577 0.7668 0.7081 223
16-20 0.5935 0.6577 0.6239 222
21-25 0.5514 0.6009 0.5751 223
26-30 0.4274 0.4640 0.4449 222
31-35 0.5376 0.2252 0.3175 222
36-40 0.4370 0.2646 0.3296 223
41-45 0.3746 0.5830 0.4561 223
46-50 0.3828 0.4978 0.4327 223
51-55 0.4061 0.4189 0.4124 222
56-60 0.3791 0.2613 0.3093 222
61-65 0.4706 0.1794 0.2597 223
66-70 0.3811 0.4550 0.4148 222
71-80 0.5468 0.6577 0.5971 222
81-90 0.7985 0.9596 0.8717 223
90+ 0.9781 1.0000 0.9889 223
accuracy 0.5381 5116
macro avg 0.5577 0.5380 0.5131 5116
weighted avg 0.5577 0.5381 0.5132 5116