metadata
license: apache-2.0
datasets:
- prithivMLmods/Age-Classification-Set
language:
- en
base_model:
- google/siglip2-base-patch16-224
pipeline_tag: image-classification
library_name: transformers
tags:
- Age
- Detection
- Siglip2
- ViT
- AutoImageProcessor
- 0-60+
Classification Report:
precision recall f1-score support
Child 0-12 0.9744 0.9562 0.9652 2193
Teenager 13-20 0.8675 0.7032 0.7768 1779
Adult 21-44 0.9053 0.9769 0.9397 9999
Middle Age 45-64 0.9059 0.8317 0.8672 3785
Aged 65+ 0.9144 0.8397 0.8755 1260
accuracy 0.9109 19016
macro avg 0.9135 0.8615 0.8849 19016
weighted avg 0.9105 0.9109 0.9087 19016
