Introduction to computer vision for digital scholarship

Computer vision has made rapid progress in recent years: images are now as readily searchable as text is in web search engines. In this hands-on workshop we will introduce free and open-source software tools created by Oxford’s Visual Geometry group (VGG) that is designed to enable newcomers to computer vision researchers to search, compare, annotate and classify large collections of images. Applications in research include finding illustrations in large datasets of printed books; matching images such as logos, mosaics or features on buildings; matching printed images according to their original printing surface; finding alterations in pairs of images; and classifying objects or features within images. We will demonstrate how these tools are being used in many projects within humanities disciplines such as art and book history; film studies; archaeology and literature. No prior knowledge of computer vision is required, nor any coding. Attendees should bring a laptop and ensure they can access Bodleian wifi or Eduroam beforehand.

Register to attend at https://oxford.onlinesurveys.ac.uk/introduction-to-computer-vision-for-digital-scholarship