How can we search through modern and historical images at the same time?
In her project “DepTH: Deep Training on History” Seyran will work on the development of a computer vision algorithm that can work with historical and modern images simultaneously. Computer vision applications normally group images based on visual characteristics such as black/white or many pixels (photo) versus few pixels (illustrations). This means that older images are separated from modern ones while this is not what we would like. Together with research software engineer Sara Veldhoen, Seyran will work on images extracted from Delpher’s books to develop a new algorithm.