Tunnel VisionSeries of 28 photographs, 35mm analog film. 2020 412 ppm
Tunnel Vision is a series of 35mm analog photographs depicting 80 object categories of the Common Objects In Context (COCO) image dataset.
I photographed computer-recognizable examples of COCO’s object categories in the city of New York, where I live. My goal was to test the dataset’s alleged universality in one actual place. Marking a shift of perspective I frequently explore in my work, the project required me to reorient my own gaze — to look through the viewfinder of my camera from the worldview the dataset puts forward.
The series focuses on the combinatory logic by which context is constructed in the dataset, asking what would be considered normal, what absurd? In other words, could data change us cognitively?
An introductory essay is published on Unthinking Photography.