AI RESEARCH
FoodCHA: Multi-Modal LLM Agent for Fine-Grained Food Analysis
arXiv CS.AI
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ArXi:2605.05499v1 Announce Type: new The widespread adoption of camera-equipped mobile devices and wearables has enabled convenient capture of meal images, making food recognition a key component for real time dietary monitoring. However, real-world food images present challenges due to high intra-class similarity and the frequent presence of multiple food items within a single image. While deep learning models achieve strong performance in coarse grained classification, they often struggle to capture fine-grained attributes such as cooking style.