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> **PACS-DG-SigLIP2** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for **multi-class domain generalization** classification. It is trained to distinguish visual domains such as **art paintings**, **cartoons**, **photos**, and **sketches** using the **SiglipForImageClassification** architecture.
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```py
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Classification Report:
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precision recall f1-score support
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> **PACS-DG-SigLIP2** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for **multi-class domain generalization** classification. It is trained to distinguish visual domains such as **art paintings**, **cartoons**, **photos**, and **sketches** using the **SiglipForImageClassification** architecture.
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> [!note]
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*SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features* 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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