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 0.7341 0.9056 0.8109 445
02 0.4494 0.6787 0.5407 445
03 0.6978 0.2854 0.4051 445
04 0.8421 0.1438 0.2457 445
05 0.5707 0.9618 0.7163 445
06-07 0.7030 0.5798 0.6355 445
08-09 0.6500 0.8180 0.7244 445
10-12 0.6993 0.7056 0.7025 445
13-15 0.8034 0.7438 0.7725 445
16-20 0.7006 0.7416 0.7205 445
21-25 0.6796 0.6292 0.6534 445
26-30 0.4241 0.5843 0.4915 445
31-35 0.4654 0.2270 0.3051 445
36-40 0.4606 0.3416 0.3923 445
41-45 0.5074 0.6944 0.5863 445
46-50 0.4896 0.5811 0.5314 444
51-55 0.5158 0.5506 0.5326 445
56-60 0.5000 0.3491 0.4111 444
61-65 0.7083 0.1910 0.3009 445
66-70 0.4778 0.7995 0.5981 444
71-80 0.7687 0.7169 0.7419 445
81-90 0.8425 0.9978 0.9136 445
90+ 0.9978 1.0000 0.9989 444
accuracy 0.6185 10231
macro avg 0.6386 0.6185 0.5970 10231
weighted avg 0.6386 0.6185 0.5970 10231