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--- |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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- f1 |
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base_model: |
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- google/vit-base-patch16-224-in21k |
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--- |
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Returns age bin based on a facial image. |
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|
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See https://www.kaggle.com/code/dima806/facial-age-years-detection-vit for more details. |
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%3C!-- HTML_TAG_END --> |
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|
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``` |
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Classification report: |
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|
|
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 |
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``` |
