AI RESEARCH
OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks
arXiv CS.CV
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ArXi:2603.09471v1 Announce Type: new Vision-Language Models (VLMs) have nstrated effective perception and reasoning capabilities on general-domain tasks, leading to growing interest in their application to Earth observation. However, a systematic benchmark for comprehensively evaluating remote sensing vision-language models (RSVLMs) remains lacking. To address this gap, we