Facebook Deepfakes Detector
Facebook is ready for challenging to build deepfakes. It is difficult to detect deepfakes ,but with the help of human user input, that’ll help neural networks detect what is and isn’t a deepfake. The end result will be a system that can reliably fake videos online.
Facebook is ready for Challenging to Build a Deep fakes Detector.it will become a crucial task that it’s hard to tell them from real videos. And that could soon spell disaster, eroding trust in what we see online. Even more convincing fakes appear regularly, and though while they frequently begin, the possibility of having your face flawlessly grafted into a compromising position is very much there and many a celebrity has already had it done to them.
The dataset for object recognition might be millions of images of ordinary objects, while the dataset for voice transcription would be hours of different kinds of speech. But there’s no such set for deepfakes.
The idea is to build a data set, with the help of human user input, that’ll help neural networks detect what is and isn’t a deepfake. The end result, if all goes well, will be a system that can reliably fake videos online
The goal of the challenge is to produce technology that everyone can use to better detect when AI has been used to alter a video in order to mislead the viewer. The Deepfake Detection Challenge will include a data set and leaderboard, as well as grants and awards, to the industry to create new ways of detecting and preventing media manipulated via AI from being used to mislead others.
Initial tests of the dataset are planned for the International Conference on Computer Vision in October, with the full launch happening at NeurIPS in December.