ImageNet: A Large-Scale Hierarchical Image Database

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei published ImageNet: A Large-Scale Hierarchical Image Database in the 2009 IEEE Conference on Computer Vision and Pattern Recognition proceedings. The paper introduces ImageNet as a large-scale ontology of images built on the WordNet structure and reports a then-current dataset of 12 subtrees, 5,247 synsets, and 3.2 million images.