The Food Recognition and Nutrition Assessment from Images Using Artificial Intelligence: A Survey

Abstract

There are three basic needs for human living: food, home, and clothes. As a result, food plays a critical part in human life. In today's world, every field achieves some level of accomplishment. We should take food as per our body needs. In recent times, many dangerous diseases have taken place in the human body. During this time, awareness of our health is an essential factor for humans. It is essential to know what we should eat in our diet. This paper explores different methods and datasets for food recognition and nutrition assessment from the images of different foods using artificial intelligence and compares different methods and technologies also. Convolutional Neural Network (CNN) is one of the most successful deep learning algorithms for food recognition. As a finding, several existing models of CNN have been explored with different accuracy and results.