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The MaskNet Dataset

  • MaskNet dataset consist of 1,058 images of littered face masks in different environments, such as streets, buildings, and parks
  • Can be utilized for face mask detection in a variety of scenarios
  • For more information, please refer to the paper
  • The photos come in an original size of 3024 x 4032 pixels, but resized to 540 x 720 pixels
  • File Format: jpg
  • Size: ~200MB
  • Annotated using LabelImg (see labels.csv).

Dataset Sample

MaskNet Sample:

Paper

Location-aware hazardous litter management for smart emergency governance in urban eco-cyber-physical systems
You can find the paper (Open Access) HERE.

DOI: 10.1007/s11042-021-11654-w

Citation

If you find the dataset useful in your research, please consider citing:

@article{Peyvandi2022,
  author={Peyvandi, Amirhossein
  and Majidi, Babak
  and Peyvandi, Soodeh
  and Patra, Jagdish C.
  and Moshiri, Behzad},
  title={Location-aware hazardous litter management for smart emergency governance in urban eco-cyber-physical systems},
  journal={Multimedia Tools and Applications},
  year={2022},
  month={Jan},
  day={03},
  issn={1573-7721},
  doi={10.1007/s11042-021-11654-w},
  url={https://doi.org/10.1007/s11042-021-11654-w}
}

Alternative Links

Kaggle Mega.nz Google Drive

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