“20% of the work is to get you to 90% accuracy,” he said, adding that 80% of the work comes in getting to 99.9% accuracy. It was an illustration of how Facebook could crack down on attempted drug sales on the platform, perhaps.īut at Facebook’s scale, with billions of posts, being wrong 10% of the time is not good enough, Hany Farid, a professor at Dartmouth and expert in digital forensics and image analysis, told CNN Business on Friday. In one example, Schroepfer showed how the systems could determine with about 90% accuracy which image showed to it contained broccoli and which contained marijuana.
Mike Schroepfer, Facebook’s chief technology officer, boasted in a recent interview with Fortune magazine how good Facebook’s artificial systems were at identifying the difference between pictures of broccoli and pictures of marijuana. Facebook, YouTube and Twitter struggle to deal with New Zealand shooting video
