Food Classification

Food classification, aiming to automatically categorize food items from images or text, is a rapidly evolving field driven by the need for efficient dietary assessment, improved food production, and enhanced food safety. Current research heavily utilizes deep learning models, such as convolutional neural networks (CNNs) like EfficientNet and ResNet, transformers, and diffusion models, often incorporating techniques like transfer learning, data augmentation, and multi-modal approaches that integrate visual and textual data. These advancements are significantly impacting various sectors, including healthcare (nutritional analysis), agriculture (crop management), and robotics (assisted feeding), by enabling more accurate, efficient, and personalized food-related applications.