voxprint-mirror-fairface-age-image-detection
Unmodified backup mirror of dima806/fairface_age_image_detection (commit 4e02ab8057ea7fd74b1670940995c5dfda3e6ec0), made for VOXPrint AI Canvas as a fallback download source.
- Original repository: https://huggingface.co/dima806/fairface_age_image_detection
- Original commit:
4e02ab8057ea7fd74b1670940995c5dfda3e6ec0 - Licence: Apache-2.0 (same as the original; see the original repository for the licence text and attribution)
- Credit: all rights to the model belong to its authors; this mirror is not affiliated with them.
- Files: byte-identical to the original at that commit. Only the runtime files are mirrored; this
README.md(model card) andvoxprint-model.jsonare ours.
| file | bytes | sha256 |
|---|---|---|
.gitattributes |
1519 | 11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361 |
config.json |
967 | 1ce878a77395b4a6a4da291a09b2b627d7d9b31bbe3be1fb1a37ad4d63f1a7e2 |
model.safetensors |
343245508 | 1265d8e5a8a363a615898be873c224aebc6f310654bf23b1745da0975a7b7555 |
preprocessor_config.json |
351 | 445c77049d082004aa07593344d5e1f521f1198228bf586196f70ce7ae021414 |
Original model card
Detects age group with about 59% accuracy based on an image.
See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
Classification report:
precision recall f1-score support
0-2 0.7803 0.7500 0.7649 180
3-9 0.7998 0.7998 0.7998 1249
10-19 0.5361 0.4236 0.4733 1086
20-29 0.6402 0.7221 0.6787 3026
30-39 0.4935 0.5083 0.5008 2099
40-49 0.4848 0.4386 0.4606 1238
50-59 0.5000 0.4814 0.4905 725
60-69 0.4497 0.4685 0.4589 286
more than 70 0.6897 0.1802 0.2857 111
accuracy 0.5892 10000
macro avg 0.5971 0.5303 0.5459 10000
weighted avg 0.5863 0.5892 0.5844 10000
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dima806/fairface_age_image_detection