Butterfly Classification with Machine Learning Methodologies for an Android Application

Abstract

In this paper, we evaluated traditional machine learning, deep learning and transfer learning methodologies by training and testing on a butterfly dataset, and determined the optimal model for an Android application. This application can detect the category of a butterfly by either capturing a real-time picture of a butterfly or choosing one picture from gallery.