Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

@article{Yang2020TowardsFD,
  title={Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy},
  author={Kaiyu Yang and Klint Qinami and Fei-Fei Li and Jun Deng and Olga Russakovsky},
  journal={ArXiv},
  year={2020},
  volume={abs/1912.07726}
}
Computer vision technology is being used by many but remains representative of only a few. People have reported misbehavior of computer vision models, including offensive prediction results and lower performance for underrepresented groups. Current computer vision models are typically developed using datasets consisting of manually annotated images or videos; the data and label distributions in these datasets are critical to the models' behavior. In this paper, we examine ImageNet, a large… CONTINUE READING

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