“Segmentation.Network“ plays back over 600.000 segmentations manually created by crowd workers for Microsoft’s COCO image recognition dataset. This dataset is based on photos from Flickr and is used in machine learning for training and testing. The piece makes visible the hidden manual labor that goes into building neural networks and artificial intelligence. Furthermore, Segmentation.Network addresses machine vision as an act of conscious selection: what can and should be seen by machines and what will remain unrecognized or deemed irrelevant is separated by distinct lines.
Sebastian Schmieg (1983, Germany) lives and works in Berlin. His practice encompasses different media like websites, videos and books. He graduated from the University of the Arts Berlin in 2013.