How Cellphone Camera Images Can Fool Machine Vision

Finding some grainy imperfections in your smartphone photo is an unavoidable reality of digital photography (especially in low light conditions), but it’s not going to stop you from recognizing who or what you’ve photographed. However, that might not be true of machines that use Google’s computer vision software to “see.” According to a new report, Google researchers found that the accuracy of the company’s image recognition algorithms often failed when they were challenged with grainy, less-than-perfect pictures. We’re already using machine vision for all sorts of purposes, including facial recognition, image identification, and self-driving vehicles. This study looked at Google’s software specifically, which is one of the best machine vision systems out there. It suggests that there could be real limitations to a growing number of such systems, which is…


Link to Full Article: How Cellphone Camera Images Can Fool Machine Vision