ImageNet21K (Winter 2021 Release)
Jia Deng and Wei Dong and Richard Socher and Li-Jia Li and Kai Li and Li Fei-Fei

@article{,
title= {ImageNet21K (Winter 2021 Release)},
journal= {},
author= {Jia Deng and Wei Dong and Richard Socher and Li-Jia Li and Kai Li and Li Fei-Fei},
year= {},
url= {https://www.image-net.org/},
abstract= {ImageNet is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). In ImageNet, we aim to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, we hope ImageNet will offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy.

},
keywords= {imagenet},
terms= {You have been granted access for non-commercial research/educational use. By accessing the data, you have agreed to the following terms.

You (the "Researcher") have requested permission to use the ImageNet database (the "Database") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:

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license= {},
superseded= {}
}