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 0.6774 0.9011 0.7734 445
02 0.4082 0.5843 0.4806 445
03 0.5972 0.1933 0.2920 445
04 0.8293 0.1528 0.2581 445
05 0.5422 0.9414 0.6881 444
06-07 0.7629 0.6292 0.6897 445
08-09 0.6201 0.7483 0.6782 445
10-12 0.6735 0.6674 0.6704 445
13-15 0.7411 0.7461 0.7436 445
16-20 0.6377 0.7079 0.6709 445
21-25 0.6572 0.6247 0.6406 445
26-30 0.4299 0.5371 0.4775 445
31-35 0.5196 0.2382 0.3267 445
36-40 0.4755 0.3708 0.4167 445
41-45 0.4634 0.6966 0.5566 445
46-50 0.4309 0.5270 0.4742 444
51-55 0.4732 0.4562 0.4645 445
56-60 0.5097 0.3536 0.4176 444
61-65 0.6835 0.2427 0.3582 445
66-70 0.4852 0.7730 0.5962 445
71-80 0.7740 0.7079 0.7394 445
81-90 0.8516 0.9955 0.9180 444
90+ 0.9978 1.0000 0.9989 445
accuracy 0.5997 10231
macro avg 0.6192 0.5998 0.5796 10231
weighted avg 0.6192 0.5997 0.5795 10231