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

MrSub Head Dataset

MrSub is a dataset of surveillance images "captured from two front-facing surveillance cameras installed behind the left and right side of the counter of a general fast food restaurant. Images were captured at 2 frames/minute for a period of 10 hours per day over several days." 1

"Compared to Brainwash, MrSub mainly includes larger head instances with little occlusions." 1 But like Brainwash, the MrSub dataset was captured in an unconstrained environment without participation or consent of the restaurant customers. MrSub appears to an obscure dataset that may have only been used in limited research. The dataset authors mention it is not publicly available. But it is still notable because of the way images were collected.

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

Supplementary Information

Citing MrSub Dataset

If you use any data from the MrSub 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 abRahman, 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.