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ObjectNet (Test set only)

Original paper: ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models

Homepage: https://objectnet.dev/

Bibtex:

@inproceedings{NEURIPS2019_97af07a1,
 author = {Barbu, Andrei and Mayo, David and Alverio, Julian and Luo, William and Wang, Christopher and Gutfreund, Dan and Tenenbaum, Josh and Katz, Boris},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
 pages = {},
 publisher = {Curran Associates, Inc.},
 title = {ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models},
 url = {https://proceedings.neurips.cc/paper/2019/file/97af07a14cacba681feacf3012730892-Paper.pdf},
 volume = {32},
 year = {2019}
}
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