Food classification - Open Access .click

Computers in Biology and Medicine, 2016
Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision.
Giovanni Maria Farinella, Dario Allegra, Marco Moltisanti +2 more
exaly +3 more sources

Food vs Non-Food Classification

Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, 2016
Automatic understanding of food is an important research challenge. Food recognition engines can provide a valid aid for automatically monitoring the patient's diet and food-intake habits directly from images acquired using mobile or wearable cameras. One of the first challenges in the field is the discrimination between images containing food versus ...
Ragusa F. +4 more
openaire +2 more sources

A classification of plant food allergens

Journal of Allergy and Clinical Immunology, 2004
Plant food allergens can be classified into families and superfamilies on the basis of their structural and functional properties. The most widespread groups of plant proteins that contain allergens are the cupin and prolamin superfamilies and the protein families of the plant defense system.
Heimo, Breiteneder, Christian, Radauer
openaire +2 more sources

deep learning
computer vision
machine learning

nutrient profiling
ultra-processed food
convolutional neural networks

processed food
food-based dietary guidelines
nova