• Computer Science
  • Published in AAAI 2017

Fine-Grained Car Detection for Visual Census Estimation

@inproceedings{Gebru2017FineGrainedCD,
  title={Fine-Grained Car Detection for Visual Census Estimation},
  author={Timnit Gebru and Jonathan Krause and Yilun Wang and Duyun Chen and Jia Deng and Li Fei-Fei},
  booktitle={AAAI},
  year={2017}
}
Targeted socioeconomic policies require an accurate understanding of a country's demographic makeup. To that end, the United States spends more than 1 billion dollars a year gathering census data such as race, gender, education, occupation and unemployment rates. Compared to the traditional method of collecting surveys across many years which is costly and labor intensive, data-driven, machine learning driven approaches are cheaper and faster--with the potential ability to detect trends in… CONTINUE READING

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