#Fei-Fei Li

The Stanford professor who assembled fourteen million labelled images when everyone told her the project was impossible, built the benchmark that made the deep learning revolution possible, went to Google as Chief AI Scientist, returned to academia to lead the movement for human-centered AI, and became one of the most important voices connecting technical capability to human values. The complete portrait of the creator of ImageNet.

How Fei-Fei Li assembled fourteen million labelled images over three years of painstaking work, created the most important dataset in the history of AI, and built the benchmark that made the deep learning revolution possible. The full story of ImageNet — the years of labour, the unconventional methodology, the competition that changed everything in 2012, and why one woman's conviction that data was as important as algorithms turned out to be exactly right.