ImageNet is a vast visual database used for research in visual object recognition. It contains more than 14 million images, with each image labeled with over 20,000 unique object categories. ImageNet was created in 2006 by data scientist Fei-Fei Li, who drew inspiration from the 1985's success of WordNet, a lexical database that groups words into synonym sets. ImageNet has become famous for its extensive collection and has played a critical role in training an…