The NASA-IBM Lunar Foundation Model, an open-source AI model, combines diverse lunar datasets to support scientific analysis of the Moon, leveraging planetary science expertise and multimodal data. The model, pretrained on nearly two million co-registered data bundles, reproduces patterns of lunar ice prospectivity and demonstrates strong performance in crater detection and segmentation of irregular mare patches. The model's fine-tuning code and benchmark datasets are available for reuse by the planetary science and AI communities. AI summary
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