NutriMLLM models fine-tuned on 1.1 million synthetic food image-nutrient triplets from population dietary recalls achieve near-complete coverage and competitive accuracy on real food images for comprehensive micronutrient estimation compared to proprietary MLLMs.
arXiv preprint arXiv:2509.13268 (2025)
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NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
NutriMLLM models fine-tuned on 1.1 million synthetic food image-nutrient triplets from population dietary recalls achieve near-complete coverage and competitive accuracy on real food images for comprehensive micronutrient estimation compared to proprietary MLLMs.