Fruits and Vegetables Calorie Counter Using Convolutional Neural Networks

People care about what types of fruit they're eating and the nutrients it contains because eating fruit is an essential part of leading a healthy life. This paper introduces an automatic way for detecting and recognizing the fruits in an image. The proposed method uses state of the art deep learning techniques for feature extraction and classification. Deep learning methods, especially convolutional neural networks, have been widely used for a variety of classification problems and have achieved promising results. Our trained model has achieved an accuracy of 75% in the task of classification of 43 different types of fruit. The similar methods have achieved up to 70% with fewer classes.