In this tutorial, we look at Computer Vision approaches developed to investigate Digital Humanities data and, more specifically, fine-art and cultural heritage. We will explain what approaches can achieve, how to train and use with a basic understanding of python to be applied to different types of visual data. By breaking down the tutorial into five parts (one per presenter), the tutorial will provide an overview of the research within Computer Vision and its current and future application within Digital Humanities. We additionally attempt to provide some reflections on the use of Asian data and the limitations or challenges. While considering the current extensive narrative within the Computer Vision research community on bias in datasets and collections.