Tools to analyze and compare images, focused around discovering, understanding and documenting street art.
Modern machine learning tools have made it possible to analyze and manipulate large datasets. This has especially improved how images can be queried and searched.
Using techniques that were previously only available in academia or private industry, Public Art hopes to use digital archiving practices to better understand street art on a large scale. Public datasets in the form of social media and user generated content provide enormous image repositories that make this possible.