MegaPixels
Clifton
A still frame from the Clifton dataset and research paper "Deep People Detection: A Comparative Study of SSD and LSTM-decoder"

Clifton Head Dataset

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.

Cite the dataset author's work

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"
}

Cite Our Work

If you reference this research project or use any data from the MegaPixels project, cite our research as follows:

@online{megapixels,
  author = {Harvey, Adam. LaPlace, Jules.},
  title = {MegaPixels: Origins and Endpoints of Datasets Created "In The Wild"},
  year = 2019-2020,
  url = {https://megapixels.cc/},
  urldate = {2020-09-05}
}

References

  • 1 aMd. Atiqur Rahman, et al. "Deep People Detection: A Comparative Study of SSD and LSTM-decoder". 2018 15th Conference on Computer and Robot Vision (CRV). (2018): 305-312.