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Flood-Image-Detection

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Flood-Image-Detection is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-512 for binary image classification. It is trained to detect whether an image contains a flooded scene or non-flooded environment. The model uses the SiglipForImageClassification architecture.

disasterfloodfloodinggooglegradiohuggingface-transformerssiglip2vision-encodervision-transformer
Creat：2025-05-27T14:16:00
Update：2025-05-27T14:20:13
https://huggingface.co/prithivMLmods/Flood-Image-Detection
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