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 …

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 …

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 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 …

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 …

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

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 …

Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …

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 …

Features learned by deep Convolutional Neural Networks (CNNs) have been recognized to
be more robust and expressive than hand-crafted ones. They have been successfully used …