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> *SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features*
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> [https://arxiv.org/pdf/2502.14786](https://arxiv.org/pdf/2502.14786)
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```py
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Classification Report:
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precision recall f1-score support
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Child 0-12 0.
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Teenager 13-20 0.
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Adult 21-44 0.
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Middle Age 45-64 0.
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Aged 65+ 0.
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accuracy 0.
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macro avg 0.
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weighted avg 0.
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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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Child 0-12 0.9827 0.9859 0.9843 2193
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Teenager 13-20 0.9663 0.8713 0.9163 1779
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Adult 21-44 0.9669 0.9884 0.9775 9999
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Middle Age 45-64 0.9665 0.9538 0.9601 3785
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Aged 65+ 0.9737 0.9706 0.9722 1260
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accuracy 0.9691 19016
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macro avg 0.9713 0.9540 0.9621 19016
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weighted avg 0.9691 0.9691 0.9688 19016
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```
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