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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 0.9415 0.9398 0.9407 2193
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- Teenager 13-20 0.7522 0.4744 0.5819 1779
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- Adult 21-44 0.8577 0.9635 0.9075 9999
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- Middle Age 45-64 0.8532 0.7400 0.7926 3785
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- Aged 65+ 0.8252 0.7794 0.8016 1260
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- accuracy 0.8583 19016
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- macro avg 0.8460 0.7794 0.8049 19016
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- weighted avg 0.8545 0.8583 0.8510 19016
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  ```
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- ![download (1).png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/W26dIY52YctE7r02CQL90.png)
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  ---
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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 0.9827 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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+ ![download.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/ngGPmqGLlqQnfwRhy8phZ.png)
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