---
license: apache-2.0
datasets:
- prithivMLmods/Face-Age-10K
---

```py
Classification Report:
              precision    recall  f1-score   support

   age 01-10     0.9614    0.9669    0.9641      2474
   age 11-20     0.8418    0.8467    0.8442      1181
   age 21-30     0.8118    0.8326    0.8220      1523
   age 31-40     0.6937    0.6683    0.6808      1010
   age 41-55     0.7106    0.7528    0.7311      1181
   age 56-65     0.6878    0.6646    0.6760       799
   age 66-80     0.7949    0.7596    0.7768       653
    age 80 +     0.9349    0.8343    0.8817       344

    accuracy                         0.8225      9165
   macro avg     0.8046    0.7907    0.7971      9165
weighted avg     0.8226    0.8225    0.8223      9165
```

![download (1).png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/E_8ykSA-ZqEK0_Jtch5dD.png)