ImageNet is one of the largest and most widely used image databases that consists of millions of images categorized into thousands of different classes. It's especially well-known for its use in training and evaluating deep learning models in tasks like image recognition and classification. The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) significantly contributed to the development and popularity of convolutional neural networks (CNNs) as they excelled in this competition.