CV Dazzle is a systematic approach to creating "dazzle" makeup and hair effects that fool computer vision systems. For example, you could change the symmetry of your face by painting a lightning bolt across it, causing all computer vision systems to mistakenly identify you as David Bowie.
There is a strong emphasis towards radical-neutrality. The designs used in the first several looks are inspired by both tribal paint and high-fashion aeshetics from the club scene in London. In fact, photos from both were incorporated into the testing algorithms. Surprisingly, many of the more eccentric looks did not fool the face detection algorithms.
To design the looks at left, software was developed that combines interactive drawing and genetic algorithms to detect vulnerabilities in the face detection process. By understanding how face-detection algorithms work, an anti-face can be constructed and used as a guide for creating makeup and hair-styling that foils the face detection process. As a result, your face becomes undetectable to machines yet retains some level of legibility to humans.
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
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