Places: An Image Database for Deep Scene Understanding

@article{Zhou2016PlacesAI,
  title={Places: An Image Database for Deep Scene Understanding},
  author={Bolei Zhou and Aditya Khosla and {\`A}gata Lapedriza and Antonio Torralba and Aude Oliva},
  journal={ArXiv},
  year={2016},
  volume={abs/1610.02055}
}
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification at tasks such as object and scene recognition. [] Key Result With its high-coverage and high-diversity of exemplars, the Places Database offers an ecosystem to guide future progress on currently intractable visual recognition problems.

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