The FASSEG repository is composed by four subsets containing face images useful for training and testing automatic methods for the task of face segmentation. Threesubsets, namely frontal01, fron- tal02, and frontal03 are specifically built for performing frontal face segmentation. Frontal01 contains 70 original RGB images and the corresponding roughly labelledground-truth masks. Frontal02 contains the same image data, with high-precision labelled ground-truth masks. Frontal03 consists in 150 annotated face masks of twins captured in various orientations, illumination conditions and facial expressions. The last subset, namely multi- pose01, contains more than 200 faces in multiple poses and the corresponding ground-truth masks. For all face images, ground- truth masks are labelled on six classes (mouth, nose, eyes, hair, skin, and background).

FASSEG: A FAce semantic SEGmentation repository for face image analysis

Benini, Sergio;Khan, Khalil;Leonardi, Riccardo;Mauro, Massimo
2019-01-01

Abstract

The FASSEG repository is composed by four subsets containing face images useful for training and testing automatic methods for the task of face segmentation. Threesubsets, namely frontal01, fron- tal02, and frontal03 are specifically built for performing frontal face segmentation. Frontal01 contains 70 original RGB images and the corresponding roughly labelledground-truth masks. Frontal02 contains the same image data, with high-precision labelled ground-truth masks. Frontal03 consists in 150 annotated face masks of twins captured in various orientations, illumination conditions and facial expressions. The last subset, namely multi- pose01, contains more than 200 faces in multiple poses and the corresponding ground-truth masks. For all face images, ground- truth masks are labelled on six classes (mouth, nose, eyes, hair, skin, and background).
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S235234091930232X-main.pdf

solo utenti autorizzati

Descrizione: pre-print
Tipologia: Documento in Pre-print
Licenza: DRM non definito
Dimensione 555.38 kB
Formato Adobe PDF
555.38 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/514770
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 10
social impact