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 0.7415 0.8851 0.8070 444
02 0.4386 0.6899 0.5362 445
03 0.7039 0.2831 0.4038 445
04 0.8193 0.1532 0.2581 444
05 0.5747 0.9596 0.7189 445
06-07 0.6718 0.5843 0.6250 445
08-09 0.6199 0.8135 0.7036 445
10-12 0.6840 0.6225 0.6518 445
13-15 0.7991 0.7685 0.7835 445
16-20 0.7058 0.7169 0.7113 445
21-25 0.6793 0.6045 0.6397 445
26-30 0.4053 0.5820 0.4779 445
31-35 0.5048 0.2382 0.3237 445
36-40 0.4748 0.3596 0.4092 445
41-45 0.5177 0.7213 0.6028 445
46-50 0.5058 0.5910 0.5451 445
51-55 0.4960 0.5586 0.5254 444
56-60 0.5102 0.3371 0.4060 445
61-65 0.6412 0.1888 0.2917 445
66-70 0.4871 0.8045 0.6068 445
71-80 0.7928 0.6966 0.7416 445
81-90 0.8445 0.9910 0.9119 444
90+ 0.9978 1.0000 0.9989 445
accuracy 0.6152 10231
macro avg 0.6355 0.6152 0.5948 10231
weighted avg 0.6354 0.6152 0.5948 10231