Machine Learning with Core ML

Shutterstock – image search based on composition

Over the past 10 years, we have seen an explosive growth in visual content created and consumed on the Web, but before the success of CNNs, images were found by performing simple keyword searches on the tags assigned manually. All this changed around 2012, when A. Krizhevsky, I. Sutskever, and G. E. Hinton published their paper ImageNet Classification with Deep Convolutional Networks. The paper described their architecture used to win the 2012 ImageNet Large-Scale Visual Recognition Challenge (ILSVRC). It's a competition like the Olympics of computer vision, where teams compete across a range of CV tasks such as classification, detection, and object localization. And that was the first year ...