We aim to make an accurate image classification model which accurately identifies the type of coin and the country of origin of a coin from just one image. There are 315 unique classes of coins in the dataset and each class symbolises a unique combination of currency, value, and country (e.g. "Euro,50 cents, Finland" or "Pakistani Rupee,1 Paisa, Pakistan"). This project was a competition, created as part of the Deep Learning for Computer Vision course at the University of Tartu. The aim is to train a computer vision model that can precisely identify the specific coin shown in image. The collection of coins is quite diverse : from euros with different national designs to Estonian kroons, Pakistani rupees and many others. Most images show a single coin, although in some cases, both the front and back sides are visible. This adds complexity to the classification, as important details, whether on the obverse or reverse, can be crucial to distinguish between coins that look very similar in shape.