What is this fruit? Neural network application for Vietnamese fruit recognition

Faculty of Applied Mathematics, Wroclaw University of Science and Technology

^* e-mail: 230038@student.pwr.edu.pl

Abstract

We use deep learning for problems in computer vision, image recognition and classification. Deep learning methods for fruit recognition are built with methods where features (in our case fruits key features) are processed and sent through multiple layers where transformations and computations are done sequentially to form a prediction model. Deep learning algorithms draws inspiration from many fields especially applied maths fundamentals like linear algebra, probability, information theory and numerical optimization. To the best of our knowledge this is the first web application for fruit recognition. Thanks to that users will be able to recognize most of the Vietnamese fruits without knowledge of Vietnamese language. What is more they can get a short description for each fruit and a video how to eat it. In the paper we compare different models of convolutional neural networks in order to find the best possible model of CNN. This system will is fine-tuned, what means that it learns on examples provided by users of application. Having that we propose algorithm which detects non-fruits pictures uploaded by user.