A Mobile Application for Cat Detection and Breed Recognition Based on Deep Learning
Xiaolu Zhang, Luyang Yang, Richard Sinnott · 2019
Deep learning is one of the latest technologies in computer science. It allows using machines to solve problems in a manner similar to the human brain. Deep learning approaches have significantly improved the performance of visual recognition applications including image classification and image detection. In this paper we benchmark different deep learning models and present an Android application used to predict the location and breed of a given cat using a mobile phone camera. The average accuracy of the finalized model was 81.74%.