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, 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.

Supplementary Information

Citing Clifton Dataset

If you use any data from the Clifton dataset, please cite their work as:

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

Cite Our Work

If you find this analysis helpful, please cite our work:

@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 Rahman, Md. Atiqur 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.