sjeeudd/OmniEarth

OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks Abstract: Vision-Language Models (VLMs) have demonstrated 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 introduce OmniEarth, a benchmark for evaluating… See the full description on the dataset page: https://huggingface.co/datasets/sjeeudd/OmniEarth.

<iframe src="https://silytics.si/embed/item/e1736551-5baf-4227-b5fd-005b8c54ccae" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.