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, POINTING ’04, 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)