A database of more than 14 million labeled images in 20 thousand categories used to train models for computer vision. ImageNet was started in 2006 by Chinese researcher Fei-Fei Li to provide the necessary images for training image classification models. Available to everyone for non-commercial use, ImageNet images are organized according to the WordNet hierarchy, which groups sets of words into "synonym sets" or "synsets."
The Visual Recognition Challenge (2010-2017)
For eight years, the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) was a competition for the most advanced image recognition model. The last competition was in 2017 because the error rate had surpassed human capabilities. See
AlexNet.