After last week’s disturbing scandal involving Souvid Datta’s image theft and displaying the face of a child sex worker, it’s appropriate to talk about the Trophy Camera. (Datta is an award winning photographer and was recently busted for stealing pieces of Mary Ellen Mark’s work and placing it into his photography.)
Photographer Max Pinckers and media artist Dries Depoorter have created a camera that aims to deconstruct what makes an image an award winner. After researching and cataloging every World Press Photo winner from 1955 until 2017, they’ve managed to simply categorize the winning images into things like man, woman, soldier, portrait, etc… Based on these categories, Pinckers and Depoorter have created an algorithm that can analyze images based on the characteristics of World Press Photo winners. Upon taking a photo with the Trophy Camera, the photo receives a rating based on the algorithm. The algorithm is measuring how closely the photo matches the most common attributes of World Press Photo award winners.
Pinckers told Co.Design, “By making this camera, we try to implicitly comment on the current status of photojournalism–which seems to be becoming more questionable in today’s visual landscape–along with the incredibly fast development of computer vision and the relevance of artificial intelligence in our time. The Trophy Camera raises many questions we still can’t answer.”
The incident of Souvid Datta is point in case for the reason why the Trophy Camera is relevant for our time of crisis of fake news and questionable practices in photojournalism.
Read the full article at: www.fastcodesign.com