Fruits and Vegetable Classification and Calories Measurement System
Keywords:
Calorie counter; Fruit classification; fruit recognition; convolutional neural network; Deep learning.Abstract
Individuals care about the types of fruit they are eating and the nutrients it contains because eating fruits
and vegetables is an essential part of leading a healthy diet. In this paper we introduce an automatic way
for detecting and recognizing the fruits in an image in order to enable keeping track of daily intake
automatically using images taken by the user. 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.
