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 …

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 …

Dietary assessment can be crucial for the overall well-being of humans and, at least in some
instances, for the prevention and management of chronic, life-threatening diseases. Recall …

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 …

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 …

Image-based food recognition pose new challenges for mainstream computer vision
algorithms. Recent works in the field focused either on hand-crafted representations or on …

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 …

This paper deals with automatic systems for image recipe recognition. For this purpose, we
compare and evaluate leading vision-based and text-based technologies on a new very …

Food image segmentation is a critical and indispensible task for develo** health-related
applications such as estimating food calories and nutrients. Existing food image …