Assessing the spatial accuracy of geocoding flood-related imagery using Vision Language Models

While the capabilities of large language models and visual language models for various classification tasks have advanced significantly, their potential for location inference remains largely underexplored. Therefore, this study evaluates the performance of four prominent models — BLIP-2, LLaVA1.6,...

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Bibliographic Details
Published inSpatial information research (Online) Vol. 33; no. 2; p. 15
Main Authors Schmidt, Sebastian, Díaz Fragachan, Eleonor, Arifi, Dorian, Hanny, David, Resch, Bernd
Format Journal Article
LanguageEnglish
Published 대한공간정보학회 01.04.2025
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