Exposing.ai
VOC Dataset

Pascal VOC Dataset

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Information Supply Chain

To help understand how VOC Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Pascal VOC Dataset was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.

Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide an estimated overview of how and where images were used based on institutional affiliations. Thicker lines represent more citations. Please zoom in to see all institutions, as cities may have multiple points very close together.

VOC Copyright Distribution

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

VOC Creative Commons License Distribution

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

VOC Image Upload Year Distribution

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

Top 10 VOC Image #Tags

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

Top 10 Geocoded Cities VOC

Years
Top 10 cities for geocoded photos in VOC | 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 VOC cite the author's work:

@article{Everingham2009ThePV,
    author = "Everingham, M. and Gool, L. and Williams, C. K. and Winn, J. and Zisserman, Andrew",
    title = "The Pascal Visual Object Classes (VOC) Challenge",
    journal = "International Journal of Computer Vision",
    year = "2009",
    volume = "88",
    pages = "303-338"
}

References

  • 1 M. Everingham, et al. "The Pascal Visual Object Classes (VOC) Challenge". International Journal of Computer Vision 88. (2009): 303-338.