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. 2019 Mar 29;24:103881. doi: 10.1016/j.dib.2019.103881

Specifications Table [Please fill in right-hand column of the table below.]

Subject area Computer science, Signal Processing
More specific subject area Image Processing, Face Segmentation
Type of data Images
How data was acquired Original data are taken from other existing public databases (MIT-CBCL, FEI, POINTING04, and SIBLINGS face databases). Ground-truth masks are produced by using a commercial editor for raster graphics.
Data format RGB and JPG
Experimental factors Camera illumination, background colour, subject variety.
Experimental features Facial features (mouth, nose, eyes, hair, skin).
Data source location Brescia, Italy, University of Brescia, Department of Information Engineering, Latitude: 45.564664, Longitude: 10.231660
Data accessibility Public. Benini, Sergio; Khan, Khalil; Leonardi, Riccardo; Mauro, Massimo; Migliorati, Pierangelo (2019), “FASSEG: a FAce Semantic SEGmentation repository for face image analysis (v2019)”, Mendeley Data, v1https://doi.org/10.17632/sv7ns5xv7f.1
Related research article Sergio Benini, Khalil Khan, Massimo Mauro, Riccardo Leonardi, Pierangelo Migliorati, “Face analysis through semantic face segmentation”, in Signal Processing: Image Communication, vol. 74, pp. 21–31, May 2019 (Available online since 18 January 2019https://doi.org/10.1016/j.image.2019.01.005)