Improving Identification Accuracy of Unearthed Coin Images Using Deep Learning

Abstract

Recently, AI technology called deep learning has been attracting attention. Deep learning is a kind of neural network. It is a method of machine learning using a hierarchical neural network with a multi-layer structure. Deep learning has shown great results in pattern recognition. In this study, we consider the classification of unearthed coins using deep learning. There are many types of unearthed coins to be excavated from a ruin. However, the classification of unearthed coins is even difficult task for numismatics experts. The purpose of this study is to improve the accuracy of identification of unearthed coin images using deep learning. We use methods such as Data Augmentation to improve the identification accuracy.