Fernanda Brito Correia

Deep learning for food image classification: a structured review of CNNs and lightweight deployment

A structured literature review of CNN-based food image classification studies published between 2020 and 2025 identifies persistent gaps in statistical validation, class imbalance treatment, explainability, reproducibility, public code availability and deployment-oriented evaluation.