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flood

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This project aims to leverage data analysis and linear regression techniques to analyze historical flood data and predict future flood events. By identifying patterns and relationships in the data, the project seeks to provide actionable insights for early warning systems and disaster preparedness.

  • Updated Aug 11, 2024
  • Jupyter Notebook

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.

  • Updated May 27, 2025
  • Python

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