For a 2019 commission in the Barbican’s Curve Gallery in London, I took a close look at the most widely-used “training set” used in AI – ImageNet, a database of over 14 million images organized into more than twenty-thousand categories. The installation was made out of approximately 30,000 individually printed photographs, showing the precarious relationshipsContinue reading “From ‘Apple’ to ‘Anomaly’ (Pictures and Labels)”
Tag Archives: A Study of Invisible Images
They Took the Faces…
Contemporary facial-recognition algorithms were first properly researched in the early 1990s. To conduct that research, computer scientists and software engineers need large collections of faces to experiment with and to use as performance benchmarks. Before the advent of social media, a common source of faces for this research and development came from mugshots of accusedContinue reading “They Took the Faces…”
It Began as a Military Experiment
Contemporary research into facial recognition technology began in earnest in the mid-1990s at the behest of DARPA, the Defense Advanced Research Projects Agency. The military wanted facial recognition to exist, so DARPA began funding researchers in computer science and computer vision to work on the problem. The military realized that to do facial recognition, researchersContinue reading “It Began as a Military Experiment”