About - FacesDB

This dataset includes facial images of 38 different male and female subjects, each assuming 12 distinct poses (11 expressions and one neutral pose).

sNNN-XX
where:
NNN, represents the number of subject
XX, represents the number of expression or position

Number	Name	Sex	Age	Landmarks
s001	Ilana Paterman	female	26	yes
s002	Priscila Freire	female	23	yes
s003	Colette Lewiner	female	63
s004	Jacque Lewiner	male	65	yes
s005	Thomas Lewiner	male	30
s006	Adriana Schulz	female	22	yes
s007	Thiago Siqueira Pereira	male	24	yes
s008	Bruno Madeira	male	29	yes
s009	Leonardo Koller Sacht	male	21	yes
s010	Ives Macedo	male	26	yes
s011	Joana Passi de Moraes	female	24	yes
s012	David da Silva Pires	male	29
s013	Gabriel Duarte	male	19	yes
s014	Anna Regina Corbo Costa	female	26	yes
s015	Dalia Bonilla Correa	female	29	yes
s016	Anderson Mayrink da Cunha	male	45	yes
s017	Jorge Estrada	male	54
s018	Emilio Vital Brazil	male	33
s019	Yuri Lima	male	23	yes
s020	Nina Paim	female	22	yes
s021	Thales Vieira	male	25	yes
s022	Luisa Fosco	female	20	yes
s023	Aldo Zang	male	27	yes
s024	Italo Lima	male	21	yes
s025	Renato Soares dos Santos	male	33	yes
s026	Patrik Matos da Silva	male	26
s027	Monica Borges Lima Ferreira	female	44
s028	Adriana Marangoni	female	34
s029	Daniela Aumada	female	33
s030	Esdras Medeiros	male	31
s031	Camila Goncalves	female	24
s032	Roberta Mosca	female	28
s033	Andre Maximo	male	27
s034	Pedro Luiz Pereira de Souza	male	63
s035	Silvia Steinberg	female	63
s036	Manoel Prazeres	male	49
s037	Lea da Silva Veras	female	25
s038	Jesus P. Mena-Chalco	male	29