ImageNet is a comprehensive and publicly available large-scale image database meticulously developed to support a wide range of computer vision tasks. Created in 2009 by data scientist and Princeton University Professor Fei-Fei Li, ImageNet was inspired by the success of WordNet, a lexical database established in 1985 that groups words into synonym sets. The primary objective was to populate the WordNet hierarchy with approximately 500 to 1,000 images per concept. Today, it boasts over 14 million images, each annotated according to the WordNet hierarchy validation labels. This structured labeling system…