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
Originally posted on GitHub
File Format: jpg
Size: ~200MB

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}
}

Tables

Labels

@kaggle.tenebris97_masknet.labels

21.63 KB
1058 rows
8 columns


CREATE TABLE labels (
  "filename" VARCHAR,
  "width" BIGINT,
  "height" BIGINT,
  "class" VARCHAR,
  "xmin" BIGINT,
  "ymin" BIGINT,
  "xmax" BIGINT,
  "ymax" BIGINT
);

MaskNet Dataset

About this Dataset