Object Detection using Convolutional Neural Network in the Application of Supplementary Nutrition Value of Fruits

Abstract

Object image detection is unique most auspicious claims of visual object recognition, since it will help to estimate nutrition calories and improve commons ingestion habits. The food gives nutrition to our body to provide information to function properly. If we will not get the precise data our metabolic progressions grieve and our fitness decays which cause various health issues. In brief, nutrition we take totally central to our health. Researchers now believe that these difficulties are partly connected to the nourishment. While they used to have faith in that diseases-such as diabetes, obesity, heart disease, and certain cancers were triggered by a single gene mutation, they are now generally accrediting these situations to a system of living dysfunction. The project aim is to develop an application for estimating food calories and improve people's consumption conducts for fitness. It provides the users, patients with the convenient solutions for food intake.