The project is lead by Rolf Lyneborg Lund and solely run with the passion and interest of students and researchers alike.
One of the first tasks in the project has been to automate image scraping via the Google Street View API and identifying images of houses. To reduce the burden of the model, it is imperative to reduce the image load by sorting out images that has no houses on them. The overall ratio seems to be close to 25% images of houses to 75% with no houses. It is relatively easy to define cases where there definitely are houses and where there is none. The problem arises when the cases become more intricate, e.g. where a house is maybe hiding behind the shrubbery or where something that once were a house now function as a barn. Even the simpler question “What is a house?” becomes harder to answer when wanting to automate.
All code will be available for the public as the project evolves.
Assistant professor Rolf Lyneborg Lund: Phone: +45 9940 2846; E-mail: firstname.lastname@example.org
Start date: 1 September 2018