Vision-language models underperform specialized astronomical methods on real observational data, with accuracy improving when physical explanations are provided in prompts and when raw numerical measurements replace rendered plots.
Mirabest: a data set of morphologically classified radio galaxies for machine learning.RAS Techniques and Instruments, 2(1):293–306, January 2023
2 Pith papers cite this work, alongside 15 external citations. Polarity classification is still indexing.
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Text captions of radio galaxy images can classify FR-I vs FR-II morphologies comparably to image embeddings, but LoRA fine-tuning improves local class coherence without improving global image-text alignment.
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A systematic evaluation of vision-language models for observational astronomical reasoning tasks
Vision-language models underperform specialized astronomical methods on real observational data, with accuracy improving when physical explanations are provided in prompts and when raw numerical measurements replace rendered plots.
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Exploring Image-Text Alignment for Radio Galaxy Morphologies
Text captions of radio galaxy images can classify FR-I vs FR-II morphologies comparably to image embeddings, but LoRA fine-tuning improves local class coherence without improving global image-text alignment.