Facebook today revealed that, using 3.5 billion publicly shared Instagram photos and their accompany hashtags, its computer system has achieved new advances, with a 85.4 percent accuracy rate when used on ImageNet, a well-known benchmark dataset. From a report: The results were shared onstage at F8, Facebook's annual developer conference taking place today at McEnery Convention Center in San Jose, California. Other news announced at F8 this year include the release of Oculus Go, new Facebook Stories sharing capabilities, and the reopening of app and bot reviews following the Cambridge Analytica scandal. See the full rundown here. The results of Facebook's research mean that its computer vision in the real world can see more specific subsets, so instead of just saying "food," it's Indian or Italian cuisine; not just "bird" but a cedar waxwing; not just "man in a white suit" but a clown.