Human Generated Data

Title

Charity, Children: Belgium. Ghent. Orphelinat de garçons: Social Conditions in Belgium: 1905: Gand. - Orphelinat de Garçons. III. - Section maternelle

Date

c. 1905

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.616.2

Human Generated Data

Title

Charity, Children: Belgium. Ghent. Orphelinat de garçons: Social Conditions in Belgium: 1905: Gand. - Orphelinat de Garçons. III. - Section maternelle

People

Artist: Unidentified Artist,

Date

c. 1905

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.616.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 99.7
Human 99.7
Person 98.4
Person 98.3
Person 97.2
People 95.7
Person 95.3
Person 95.2
Person 94.3
Person 80.9
Person 79.3
Person 77.8
Person 77.4
Advertisement 74.9
Poster 74.9
Person 74.8
Person 71.3
Person 70.9
Team 70.1
Sport 67.6
Sports 67.6
Team Sport 67.6
Hockey 66.3
Building 64.1
Person 62.9
Person 47.9
Person 46.8
Person 45.2

Clarifai
created on 2019-06-07

people 99.9
administration 98.5
adult 98.2
many 97.5
military 96.5
group 96.1
cavalry 94.4
man 93.8
soldier 93.6
group together 93.2
war 92.6
government 91.4
uniform 90.6
print 89
royalty 89
home 87.9
education 86.1
woman 86
law 83.2
street 80.6

Imagga
created on 2019-06-07

architecture 36.5
building 34
facility 29.2
city 29.1
travel 23.9
historic 21.1
palace 20.7
tourism 19.8
gymnasium 19.8
treasury 19.7
history 19.7
landmark 19
street 17.5
people 17.3
monument 16.8
depository 16.8
old 16.7
kin 16.2
facade 15.9
athletic facility 15.8
house 15.7
tourist 14.9
town 13.9
stone 12.4
statue 12.4
buildings 12.3
ancient 12.1
sky 11.5
sculpture 11.5
famous 11.2
culture 11.1
exterior 11.1
religion 10.8
england 10.5
art 9.9
marble 9.7
attraction 9.6
station 9.5
united 9.5
column 9.5
window 9.4
day 9.4
church 9.2
structure 9.2
square 9
outdoors 9
arch 8.9
residence 8.7
historical 8.5
ornate 8.2
university 7.9
tourists 7.8
royal 7.7
dome 7.7
windows 7.7
outdoor 7.6
capital 7.6
college 7.5
destination 7.5
vintage 7.4
man 7.4
private 7.4
color 7.2
road 7.2
world 7.2

Google
created on 2019-06-07

History 71.8
Building 66.5
Barracks 64.5
Troop 61.1
Paper product 60.9
Uniform 59.9
Team 59.4
College 58.7
State school 57.1
Military organization 51.7
Palace 50.7

Microsoft
created on 2019-06-07

building 99.8
outdoor 96.7
person 92.3
old 84.5
clothing 70.8
group 68.3
people 60.8
posing 42
government building 38.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 54.3%
Confused 45.6%
Surprised 45.3%
Happy 50.1%
Sad 46.6%
Disgusted 45.2%
Angry 46%
Calm 46.1%

AWS Rekognition

Age 12-22
Gender Male, 54.9%
Surprised 45.1%
Angry 45.5%
Calm 52.7%
Sad 46.2%
Confused 45.2%
Disgusted 45.1%
Happy 45.2%

AWS Rekognition

Age 38-57
Gender Male, 52.2%
Confused 45.2%
Calm 45.3%
Happy 45%
Disgusted 45.1%
Sad 46%
Angry 53.3%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 52.6%
Happy 45.4%
Surprised 45.3%
Confused 45.3%
Angry 45.9%
Sad 47.2%
Disgusted 46.4%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Sad 47.6%
Surprised 45.3%
Calm 49.4%
Disgusted 45.6%
Confused 45.7%
Angry 45.7%
Happy 45.7%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Surprised 49.5%
Calm 49.7%
Sad 50.2%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Male, 53.7%
Disgusted 45.1%
Surprised 45.1%
Sad 50.6%
Confused 45.4%
Calm 45.7%
Happy 45.2%
Angry 47.9%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Happy 49.5%
Disgusted 49.6%
Sad 49.6%
Angry 50.2%
Confused 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 52.1%
Angry 48.8%
Surprised 45.2%
Confused 45.2%
Sad 49.9%
Disgusted 45.2%
Happy 45.2%
Calm 45.5%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Surprised 49.5%
Sad 49.7%
Disgusted 49.5%
Calm 50%
Happy 49.5%
Angry 49.8%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Calm 46.2%
Surprised 45.3%
Angry 46.2%
Disgusted 46.6%
Happy 47.6%
Confused 45.4%
Sad 47.6%

AWS Rekognition

Age 15-25
Gender Male, 50.4%
Confused 49.6%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 49.6%
Angry 50.2%
Surprised 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Surprised 49.5%
Disgusted 49.5%
Sad 49.6%
Angry 50.3%
Calm 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Male, 53.1%
Calm 45.8%
Surprised 45.2%
Confused 45.3%
Angry 49.2%
Sad 46.8%
Happy 47.3%
Disgusted 45.4%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.9%
Sad 49.7%
Angry 49.6%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Sad 46.2%
Calm 50.5%
Disgusted 45.4%
Confused 45.6%
Surprised 45.3%
Happy 45.7%
Angry 46.2%

AWS Rekognition

Age 30-47
Gender Male, 53.6%
Disgusted 45.2%
Confused 45.3%
Angry 50.2%
Calm 46.6%
Sad 45.9%
Surprised 45.3%
Happy 46.6%

AWS Rekognition

Age 6-13
Gender Male, 50.4%
Happy 49.6%
Calm 49.8%
Disgusted 49.5%
Angry 49.6%
Surprised 49.6%
Sad 49.9%
Confused 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Sad 49.9%
Calm 49.5%
Angry 50%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

Feature analysis

Amazon

Person 99.7%
Poster 74.9%

Categories

Text analysis

Amazon

maternelle
Orphelinat
Section
Editeur
GAND.
de
Gand.
Gargons.
Albert
Editeur N 206
206
Serie 1 GAND. Orphelinat de Gargons. III. Section maternelle
N
Albert Sugg, A Gand.
Sugg,
Serie 1
A
FTF
III.
FRAFA FTF
FRAFA
exCe

Google

GAND. Orphelinat de Garçons, III. Section maternelle Série 1 N. 206 Editeur Albert Sugg, à Gand.
GAND.
Orphelinat
de
Garçons,
III.
Section
1
206
Editeur
Sugg,
à
maternelle
Série
N.
Albert
Gand.