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