Food Image Recognition and Calorie Prediction

Abstract: This paper pivot on food classification also with boosting the task accuracy and also productivity through the usage of deep learning algorithms food classification is a major component in applications such as nutritional knowledge and restaurant menu analysis and recognizing food items from photographs is a big difficulty the cony-net and resnet152v2 were set to take on this task this study focuses on the potential of transfer learning to simplify food categorization procedures with algorithm selection playing an important part in reaching high accuracy rates as the amount of food-related applications grows the result of this can act as the selection of transfer-learning algorithms to enhance food recognition and classification systems allowing for breakthroughs in fields such as nutritional analysis and food recommendation systems in this food categorization.