Update streetlens.html

Author: Jina-Kim

projects/streetlens.html

@@ -130,7 +130,7 @@ <h1><b>StreetLens</b>: Enabling Human-Centered AI Agents for </br> Neighborhood
 
     <section>
     <h2>Introduction</h2>
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             <p>
             StreetLens is a human-centered, researcher-configurable workflow, that embeds relevant social science expertise in a vision language model (VLM) for scalable neighborhood environmental assessments. 
             StreetLens mimics the process of trained human coders by grounding the analysis in questions derived from established interview protocols, retrieving relevant street view imagery (SVI), and generating a wide spectrum of semantic annotations from objective features (e.g., the number of cars) to subjective perceptions (e.g., the sense of disorder in an image).