Labeled Data Is Key
Labeled data is the key bottleneck to the growth of the machine learning industry. In fact, labeled data is even more essential than algorithms.
Fei-Fei Li’s lab at Stanford ignited the current deep learning craze in 2009 with a dataset called ImageNet. ImageNet is a repository of 14 million labeled images in more than 20,000 categories.
By 2011, AlexNet, the first modern neural network, was the top performer on the ImageNet leaderboard. This kicked off the deep learning craze.