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RESISC45-SigLIP2

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RESISC45-SigLIP2 is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for multi-label image classification. It is specifically trained to recognize and tag multiple land use and land cover scene categories from the RESISC45 dataset using the SiglipForImageClassification architecture.

Creat2025-04-29T17:45:08
Update2025-05-01T14:09:18
https://huggingface.co/prithivMLmods/RESISC45-SigLIP2
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