Recently, considerable research efforts have been devoted to food recognition for its great
potential applications in human health. Much work so far has focused on directly extracted …

There is a global increase in health awareness. The awareness of changing eating habits
and choosing foods wisely are key factors that make for a healthy life. In order to design a …

Convolutional neural networks have been widely used for image recognition as they are
capable of extracting features with high accuracy. In this paper, we propose a DenseFood …

In this letter, we propose a protocol for an automatic food recognition system that identifies
the contents of the meal from the images of the food. We developed a multilayered …

Food safety and health is increasingly attracting attentions. An effective computer vision
method to recognize the food category can efficiently help evaluate the food nutrition. We …

With the development of deep learning and Convolutional Neural Networks (CNNs), the
accuracy of automatic food recognition based on visual data have significantly improved …

Consumer behaviors and habits in food choices impact their physical health and have
implications for climate change and global warming. Efficient food image recognition can …

The significance of food in human health and well-being cannot be overemphasized.
Nowadays, in our dynamic life, people are increasingly concerned about their health due to …

Deep convolutional neural networks (DCNNs) have become the dominant machine learning
for visual object recognition. They have been widely used in food image recognition and …

With improvements in human living standard, people's demands on food quality are getting
higher and higher. Effective food recognition algorithms are needed to obtain more useful …