Clifton

Clifton is a dataset of surveillance images captured from restaurant surveillance cameras and was used for benchmarking head detection algorithms trained on the Brainwash and MrSub datasets.

Like the more popular Brainwash dataset, Clifton is unique among unconstrained datasets because it uses surveillance camera images of consumers from a restaurant or cafe environment. Clifton was created alongside the MrSub dataset for a single study on head detection, 1 but notably involved a research affiliated with NXP Semiconductor. The MrSub dataset was used for training while Clifton was only used for benchmarking.

The only information available on Clifton so far is from the author's original paper Deep People Detection: A Comparative Study of SSD and LSTM-decoder.

Citing This Work

If you reference or use any data from the Exposing.ai project, cite our original research as follows:

@online{Exposing.ai,
  author = {Harvey, Adam. LaPlace, Jules.},
  title = {Exposing.ai},
  year = 2021,
  url = {https://exposing.ai},
  urldate = {2021-01-01}
}

If you reference or use any data from Clifton cite the author's work:

@article{Rahman2018DeepPD,
    author = "Rahman, Md. Atiqur and Kapoor, Prince and Lagani{\`e}re, Robert and Laroche, Daniel and Zhu, Changyun and Xu, Xiaoyin and Ors, Ali Osman",
    title = "Deep People Detection: A Comparative Study of SSD and LSTM-decoder",
    journal = "2018 15th Conference on Computer and Robot Vision (CRV)",
    year = "2018",
    pages = "305-312"
}

References