Ground Truth
SOURCE DATA SETS FOR COMPUTER VISION ALGORITHMS, 2016
Studio TheGreenEyl (DE)
Today, computer vision plays an essential role in everything from robotics and healthcare to surveillance. In order to train algorithms to see, researchers feed them with image data sets, which are translated into statistical models. These models in turn form the basis of computer vision software, for example for face tracking or optical character recognition.
Ground Truth is a collection of image data sets of the human body — such as faces, fingerprints and hand gestures. Mapping them out as large format prints lets us see images we usually never get to see. What are the aesthetics of these data sets? What are their peculiarities? How large are they? How many faces are enough to develop a face recognition algorithm? What is included, what is not included? What are possible biases?
BIO
Richard The is a graphic and interaction designer. Having studied at University of the Arts Berlin and the MIT Media Lab, he has worked at Sagmeister Inc. and Google Creative Lab in New York. Frédéric Eyl holds a masters degree from the University of the Arts Berlin and is a founding partner at Studio TheGreenEyl Berlin, a design practice based in Berlin and New York. They create exhibitions, installations, objects, graphics and algorithms. In the past they have developed the algorithmic corporate design for the MIT Media Lab, have created various installations for exhibitions at the Jewish Museum Berlin, Museum of Natural History Berlin, GRIMMWELT Kassel. Their work has been exhibited at the MoMA New York, Ars Electronica in Linz, Bauhaus-Archiv Berlin and at the Design Museum, London.