Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …

Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

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 …

Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

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 …

The daily healthy diet and balanced intake of essential nutrients play an important role in
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …

Technology impacts human life in both the aspects such as positive and negative, which
helps in better communication and eliminating geographical boundaries. However, social …

Анотація The paper deals with the actual tasks of computer vision–recognition and
classification of objects in images. Deep learning methods based on neural networks are …

Automatic food image recognition systems are alleviating the process of food-intake
estimation and dietary assessment. However, due to the nature of food images, their …