Exposing.ai
Who Goes There Dataset

Who Goes There

Who Goes There is a dataset of faces

Use geotagged social media images by detecting faces and learning useful features to develop various mapping applications. We propose to model how age, gender, facial shape, and location affect the expected appearance.

"We have curated a large dataset of geotagged face images, referred to as the WhoGoesThere? (WGT) dataset. Our data source is the Yahoo Flickr Creative Commons 100M (YFCC100M) [14], which contains 100 million images, of which 49 million are geotagged, and their associated meta- data. The metadata consists of 34 attributes including the date uploaded, user and machine tags.""

WGT Copyright Distribution

Years
WGT Creative Commons license distribution | Download Data (CSV) | Download Chart (SVG)

WGT Creative Commons License Distribution

Years
WGT Creative Commons license distribution | Download Data (CSV) | Download Chart (SVG)

WGT Image Upload Year Distribution

Years
WGT Creative Commons license distribution | Download Data (CSV) | Download Chart (SVG)

Top 10 WGT Image #Tags

Years
Top 10 image #tags used in WGT | Download Data (CSV) | Download Chart (SVG)

Top 10 Geocoded Cities WGT

Years
Top 10 cities for geocoded photos in WGT | Download Data (CSV) | Download Chart (SVG)

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 WGT cite the author's work:

@article{Bessinger2016WhoGT,
    author = "Bessinger, Zachary and Stauffer, Chris and Jacobs, Nathan",
    title = "Who goes there?: approaches to mapping facial appearance diversity",
    journal = "Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems",
    year = "2016"
}

References

  • 1 Zachary Bessinger, et al. "Who goes there?: approaches to mapping facial appearance diversity". Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. (2016):