Researchers Improve State of the Art in Image Recognition Using Data Set with 300 Million Images @InfoQ
"Many developers train their object detection algorithms using the ImageNet data set, which consists of 1 million images. Since 2011, no more images were added to this data set. .. The question Google researchers and scientists from the Carnegie Mellon University (CMU) asked themselves was: what happens if we increase the amount of training data?