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 0.6771 0.9102 0.7765 334
02 0.4271 0.6156 0.5043 333
03 0.5965 0.2036 0.3036 334
04 0.7500 0.0988 0.1746 334
05 0.5301 0.9491 0.6803 334
06-07 0.7292 0.6048 0.6612 334
08-09 0.5958 0.6796 0.6350 334
10-12 0.6401 0.6497 0.6449 334
13-15 0.7386 0.7297 0.7341 333
16-20 0.6047 0.7027 0.6500 333
21-25 0.6161 0.5976 0.6067 333
26-30 0.4328 0.5210 0.4728 334
31-35 0.4575 0.2102 0.2881 333
36-40 0.4128 0.2904 0.3409 334
41-45 0.4636 0.6677 0.5472 334
46-50 0.4464 0.5375 0.4877 333
51-55 0.4620 0.4731 0.4675 334
56-60 0.4573 0.3204 0.3768 334
61-65 0.6260 0.2305 0.3370 334
66-70 0.4526 0.7006 0.5499 334
71-80 0.7108 0.7087 0.7098 333
81-90 0.8354 0.9910 0.9066 333
90+ 0.9881 1.0000 0.9940 333
accuracy 0.5822 7673
macro avg 0.5935 0.5823 0.5587 7673
weighted avg 0.5934 0.5822 0.5586 7673