LISTEN: Where Did ImageNet Come From?

In September 2019, ImageNet creator Fei-Fei Li gave a talk at The Photographers' Gallery as part of a 10th anniversary of ImageNet party, talking through the events and key people that led to the datasets creation. The event also featured a series of activities and presentations to showcase the impact of ImageNet, including a discussion by Dr. Alan Blackwell and a performace on annotation by Nicolas Malevé.  

ImageNet has become one of the most influential visual datasets in the fields of Deep Learning and AI. More than 14 million photographs were gathered through a benchmarking effort that propelled the outbreak of Computer Vision and its wide range of applications such as surveillance, phone filters, medical imaging, biometry and autonomous cars. ImageNet is organised through 21,000 categories that are still being used today to train computational models.