Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

Food recognition plays an important role in food choice and intake, which is essential to the
health and well‐being of humans. It is thus of importance to the computer vision community …

We present a system which can recognize the contents of your meal from a single image,
and then predict its nutritional contents, such as calories. The simplest version assumes that …

Retrieving recipes corresponding to given dish pictures facilitates the estimation of nutrition
facts, which is crucial to various health relevant applications. The current approaches mostly …

Designing powerful tools that support cooking activities has rapidly gained popularity due to
the massive amounts of available data, as well as recent advances in machine learning that …

We propose a new dataset for the evaluation of food recognition algorithms that can be used
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …

Recently, food recognition has received more and more attention in image processing and
computer vision for its great potential applications in human health. Most of the existing …

A correct balance of nutrient intake is very important, particularly in infants. When the body is
deprived of essential nutrients, it can lead to serious disease and organ deterioration which …