Google wants to speed up image recognition in mobile apps

Google has made the app open-source so any developer can adopt it. It can perform chores like object detection, face attribute recognition, fine-grained classification (recognizing a dog-breed, for instance) and landmark recognition. The tech is part of TensorFlow, Google's deep learning model that recently shrunk down to mobile size in a new version called TensorFlow Lite. MobileNets is not one-size-fits-all, as Google has actually built 16 pre-trained models "for use in mobile projects of all sizes." The larger the model, the better it is at recognizing landmarks, faces or doggos, with the most CPU-intensive ones hitting scores of between 70.7 and 89.5 percent accuracy.