Food Recognition And Calorie Estimation Using Image Processing

Computer Science & Engineering

Obesity and overweight have traditionally being linked to intake of high calorie food and lifestyle. Obesity may be a medical condition during which excess body fat has accumulated to the extent that it's going to have an adverse effect on health. Obesity in childhood and adolescents is associated a number of complications like, psychological stress, cardiovascular disease, orthopedic problems, etc. Obesity is usually preventable through a mixture of social changes and private choices. Changes to diet and exercising are the most treatments. Diet quality are often improved by reducing the consumption of energy-dense foods, like those high in fat or sugars, and by increasing the intake of dietary fiber. Medications are often used, along with an appropriate diet, to scale back appetite or decrease fat absorption. If diet, exercise, and drugs aren't effective, a gastric balloon or surgery could also be performed to scale back stomach volume or length of the intestines, resulting in feeling full earlier or a reduced ability to soak up nutrients from food. There are also other reasons that lead to monitoring of food calorie intake. In order to keep track of the amount of calorie intake of a person, we made food recognition and calorie estimation system that estimates the calorie of the food image which is given as input .We trained more than 1000 images in each category for our model. We have used CNN (convolutional Neural Network) as a classifier for food recognition and based on the food weight in grams, the calorie of the food item is determined.

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