Calorie Measurement for Raw Vegan Diet Using YOLOv8

Food is one of the basic necessities for all life on earth. Around the world, people are becoming more and more sensitive to their diets. Numerous food management applications that utilize image recognition to automatically track meals have been developed in response to rising interest in leading better lifestyles. It’s crucial for someone to keep track of their daily caloric intake if they want to live a healthy lifestyle. The study will combine cutting-edge object detection techniques with image analysis methods to calculate a more precise calorie count from photos of food products. The employed method entails calculating the calorie content of the food item using mathematical computations of the features collected by analyzing the food image using image segmentation. In this article, we suggest a smartphone app and web for estimating food calories from photos of food items. We have taken 120 high-resolution food photos in each class to train our deep convolution neural network model to precisely identify the food components in the user’s camera-taken image. Using YOLOv8 for object identification and picture segmentation for calorie calculation, we can recognize the meal and calculate the necessary food calories.