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<!DOCTYPE html>
<html>
<head>
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<meta content="GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots" property="og:title">
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<title>GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots</title>
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<h1 class="title is-2 publication-title has-text-black">GeoLLM-Engine: An LLM Engine for Geospatial Copilots</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://www.linkedin.com/in/simranjit2112/" target="_blank">Simranjit Singh</a>,
<span class="author-block">
<a href="https://www.linkedin.com/in/michael-fore-550b3b123/" target="_blank">Michael Fore</a>,
</span>
<span class="author-block">
<a href="https://dstamoulis.github.io/" target="_blank">Dimitrios Stamoulis</a>
</span>
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<div class="is-size-5 publication-authors">
<span class="author-block">CoStrategist R&D Group, Microsoft</span>
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<span>arXiv</span>
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<a href="https://openaccess.thecvf.com/content/CVPR2024W/EarthVision/html/Singh_GeoLLM-Engine_A_Realistic_Environment_for_Building_Geospatial_Copilots_CVPRW_2024_paper.html" target="_blank" class="external-link button is-normal is-rounded is-dark">
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<p>
GeoLLM-Engine offers a realistic web environment equipped with comprehensive APIs for developing, deploying, and evaluating geospatial Copilots on tasks that authentically reflect the workflows of remote sensing analysts. Unlike existing LLM benchmarks which rely on simplified question-answer pairs, GeoLLM-Engine introduces nuanced, long-horizon natural-language commands over a wide range of tasks - from object detection and land classification to document retrieval and web search.
</p>
<br>
</div>
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</div>
</section>
<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
<pre><code>
@InProceedings{Singh_2024_CVPR,
author = {Singh, Simranjit and Fore, Michael and Stamoulis, Dimitrios},
title = {GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2024},
pages = {585-594}
}
</code></pre>
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