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tk-yasuno / damage_text_score

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An end-to-end pipeline for automated analysis of bridge structural damage (rebar exposure, cracks, corrosion) using **LLaVA (Large Language and Vision Assistant)**. The system generates expert-level damage descriptions from images and produces structured prioritization scores for repair planning.

crack-detection ml-pipeline risk-scoring bridge-inspection vision-language-model llava multimodal-llm infrastructure-ai automated-inspection civil-engineering-ai structural-damage-assessment bridge-damage-detection corrosion-detection rebar-exposure repair-prioritization
  • Updated Mar 20, 2026
  • Python

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