torch-uncertainty/Places365

Dataset Description

Places365 is a large-scale scene recognition dataset with 1.8M images across 365 scene categories. This split is derived from the OpenOOD benchmark OOD evaluation splits.

• Homepage: http://places2.csail.mit.edu/
• OpenOOD Benchmark: https://github.com/Jingkang50/OpenOOD/

Citation

@article{zhou2017places,
  title={Places: A 10 million Image Database for Scene Recognition},
  author={Zhou, Bolei and others},
  journal={IEEE TPAMI},
  year={2017}
}
@inproceedings{yang2022openood,
  title={OpenOOD: Benchmarking Generalized Out-of-Distribution Detection},
  author={Yang, Jingkang and Zhu, Zixuan and Liu, Yiyou and Song, Yiyou and Zhang, Yixuan and Pang, Tianyu and Chen, Shuqi and Wang, Hang and Lin, Min and Su, Hang and Zhu, Jun and Chen, Weiming and Zhang, Zheng},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2022}
}