Human Generated Data

Title

Charity, Children: Belgium. Ghent. Orphelinat de garçons: Social Conditions in Belgium: 1905: Gand. - Orphelinat de Garçons. II - Le Réfectoire

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, 3.2002.616.1

Human Generated Data

Title

Charity, Children: Belgium. Ghent. Orphelinat de garçons: Social Conditions in Belgium: 1905: Gand. - Orphelinat de Garçons. II - Le Réfectoire

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, 3.2002.616.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 99.4
Human 99.4
Person 99.1
Building 97.3
Indoors 94.5
Person 94
Person 93.3
Person 91.7
Person 90.2
Factory 85.3
Crowd 83.8
Room 83.1
Person 82.8
Housing 82.4
Person 82
Audience 79.5
Person 77.8
Person 73.1
Cafeteria 64.9
Restaurant 64.9
Flooring 64.7
Person 64.5
People 63.5
Prison 59.2
Person 58.4
Hall 57.5
Waiting Room 55.6
Floor 55.4
Person 46.5

Clarifai
created on 2019-06-07

Imagga
created on 2019-06-07

snow 39.5
city 29.9
pier 28.8
architecture 27.1
travel 23.2
building 22.5
winter 22.1
sky 21.7
station 21
weather 19.4
car 18.6
railway station 17.4
water 17.4
passenger car 17.3
old 16.7
landscape 16.4
support 16.3
sea 15.6
river 15.1
terminal 15.1
tourism 14.9
device 14
urban 14
wheeled vehicle 13.4
ocean 13.4
coast 12.6
vacation 12.3
vehicle 12.2
cold 12.1
historic 11.9
center 11.7
history 11.6
palace 11.1
beach 11
facility 10.9
landmark 10.8
transportation 10.8
bridge 10.6
ancient 10.4
wall 10
outdoor 9.9
boat 9.9
brick 9.4
historical 9.4
town 9.3
structure 9.2
sand 8.7
storm 8.7
clouds 8.5
destination 8.4
monument 8.4
house 8.3
street 8.3
horizon 8.1
sunset 8.1
university 8
night 8
train 7.9
summer 7.7
tourist 7.6
park 7.6
light 7.4
island 7.3
sun 7.2
bench 7.2
scenery 7.2
scenic 7

Google
created on 2019-06-07

Room 71.4
Building 71.3
Barracks 55.2
Telephone operator 52.3
Factory 51.7

Microsoft
created on 2019-06-07

black 68
old 63
people 62.3
group 57.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Male, 50.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Sad 49.5%
Disgusted 50.3%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Calm 49.9%
Disgusted 49.5%
Sad 49.8%
Happy 49.6%
Surprised 49.5%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 2-5
Gender Male, 50.4%
Angry 49.6%
Happy 49.5%
Confused 49.6%
Disgusted 49.5%
Sad 50%
Surprised 49.6%
Calm 49.7%

AWS Rekognition

Age 60-90
Gender Male, 50.2%
Surprised 49.6%
Disgusted 49.5%
Sad 49.8%
Angry 49.6%
Confused 49.5%
Calm 49.9%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Sad 49.9%
Confused 49.6%
Disgusted 49.7%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 50.3%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.4%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.6%
Happy 50.2%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Calm 49.6%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Sad 50.1%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50%
Calm 50.9%
Surprised 45.4%
Confused 45.3%
Angry 46.1%
Sad 46.7%
Happy 45.4%
Disgusted 45.1%

AWS Rekognition

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

AWS Rekognition

Age 4-7
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.1%
Calm 49.5%
Confused 49.7%
Happy 49.5%

AWS Rekognition

Age 38-59
Gender Female, 51.8%
Disgusted 46%
Confused 45.3%
Happy 46.9%
Calm 47.9%
Surprised 45.7%
Angry 46.7%
Sad 46.4%

AWS Rekognition

Age 15-25
Gender Male, 50%
Disgusted 49.6%
Calm 49.5%
Confused 49.5%
Sad 50.3%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.5%
Happy 49.6%
Sad 50.3%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.6%
Calm 49.7%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Angry 49.8%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.5%
Sad 49.9%
Happy 49.6%
Disgusted 49.5%
Calm 49.8%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 4-9
Gender Male, 50.2%
Confused 49.6%
Disgusted 50.1%
Surprised 49.5%
Sad 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.6%

Feature analysis

Amazon

Person 99.4%

Text analysis

Amazon

Orphelinat
Editeur
Garcons
Le
Gand.
de
Sugg,
Albert
GAND.
Serie
Editeur Albert Sugg, a Gand.
GAND. Orphelinat de Garcons II Le Refectoire
Refectoire
Serie 1 N.205
a
1 N.205
II
1
M SL F RAO

Google

de
Garçons
II
1
N,
205
Editeur
Albert
Sugg,
à
Gand.
GAND. Orphelinat de Garçons II Le Refectoire Série 1 N, 205 Editeur Albert Sugg, à Gand.
GAND.
Orphelinat
Le
Refectoire
Série