Open access
Oct 2026
Effects of segmentation granularity on nutrient prediction from real-world food images
Diet quality is central to preventing non-communicable diseases, yet traditional dietary assessment methods are burdensome and error-prone. Estimating nutrients directly from food images offers a scalable alternative, but most methods treat a meal as a single visual entity and estimate calories and mass more accurately...
Liam Hand, Guido Camps, Ricardo da Silva Torres et al.
· Frontiers in Nutrition · 0 citations