Human Generated Data

Title

Charity, Children: Belgium. Louvain. Orphan Asylums: Public Charitable Institutions, Louvain, Belgium: Orphan Asylum for Girls.: Dining Room.
Date

c. 1900
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, 3.2002.622.2

Human Generated Data

Title

Charity, Children: Belgium. Louvain. Orphan Asylums: Public Charitable Institutions, Louvain, Belgium: Orphan Asylum for Girls.: Dining Room.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.622.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

School 98.7
Indoors 98.4
Classroom 98.4
Room 98.4
Human 98.2
Person 98.2
Person 97.9
Person 97.2
Person 96.8
Person 96.4
Person 95.4
Person 95.3
Person 95
Person 94.8
Person 93.2
Person 92
Person 89.2
Person 89.1
Person 86.4
Person 79.4
Person 79.1
Person 70.8
Person 69.2
People 65.2
Clinic 57.1

Clarifai
created on 2019-06-07

people 100
many 99.8
group 99.5
group together 98.9
leader 98.8
administration 98.6
adult 98.3
furniture 96.1
man 94.8
several 93.6
military 92.7
woman 92.3
war 91.1
room 86.4
home 83.5
chair 83.1
sit 80.7
wear 79.5
education 78.8
crowd 78.7

Imagga
created on 2019-06-07

room 58.5
interior 42.4
classroom 35.8
chair 30.8
furniture 29.5
table 29.4
architecture 29.4
building 25.3
shop 24.6
house 24.4
barbershop 24.2
home 23.3
window 23.1
restaurant 19.1
mercantile establishment 18.6
decor 18.5
indoors 18.4
floor 17.6
modern 17.5
design 17.4
hall 17.3
inside 15.6
style 15.6
decoration 14.5
lamp 14.3
wood 14.2
apartment 13.4
people 13.4
seat 13.4
comfortable 13.4
structure 13.3
wall 12.9
chairs 12.7
light 12.7
old 12.5
residential 12.4
empty 12
luxury 12
travel 12
place of business 12
indoor 11.9
city 11.6
business 10.9
life 10.6
sofa 10.5
hotel 10.5
urban 10.5
tourism 9.9
history 9.8
wooden 9.7
scene 9.5
balcony 9.4
nobody 9.3
office 9.3
elegance 9.2
relaxation 9.2
residence 9.2
tourist 9.1
dining 8.6
glass 8.5
3d 8.5
desk 8.5
place 8.4
bar 8.3
street 8.3
historic 8.2
new 8.1
supermarket 8.1
family 8
food 7.9
tables 7.9
day 7.8
windows 7.7
kin 7.6
door 7.6
living 7.6
dinner 7.6
contemporary 7.5
plant 7.5
cafeteria 7.4
vacation 7.4
work 7.3
column 7.2

Google
created on 2019-06-07

Photograph 95
Room 83.9
Table 63.8
Event 62.7
Building 60.6
Restaurant 58.7
History 57.6
Black-and-white 56.4
Monochrome 54.4

Microsoft
created on 2019-06-07

indoor 95
furniture 89.8
clothing 88.8
person 88.4
laptop 85
house 78.1
table 77.8
white 69.9
chair 61.1
several 13.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Confused 45.2%
Angry 45.4%
Surprised 45.1%
Calm 47.5%
Sad 51.1%
Happy 45.3%
Disgusted 45.3%

AWS Rekognition

Age 26-43
Gender Male, 52.5%
Disgusted 45.5%
Angry 46%
Surprised 45.6%
Happy 47%
Sad 46.9%
Calm 48.6%
Confused 45.4%

AWS Rekognition

Age 30-47
Gender Male, 54.6%
Calm 48.7%
Disgusted 45.3%
Sad 49.9%
Happy 45.1%
Surprised 45.2%
Angry 45.4%
Confused 45.3%

AWS Rekognition

Age 27-44
Gender Male, 53.7%
Confused 45.3%
Calm 48.6%
Happy 46.3%
Disgusted 48.2%
Sad 45.5%
Angry 45.8%
Surprised 45.3%

AWS Rekognition

Age 23-38
Gender Female, 54.3%
Confused 45.3%
Sad 51.1%
Disgusted 45.2%
Calm 45.7%
Happy 45.8%
Surprised 45.3%
Angry 46.6%

AWS Rekognition

Age 26-43
Gender Female, 51.9%
Confused 45.9%
Surprised 45.6%
Happy 45.6%
Sad 48.5%
Disgusted 45.5%
Angry 46.4%
Calm 47.4%

AWS Rekognition

Age 20-38
Gender Female, 54.5%
Calm 46.7%
Happy 48.2%
Surprised 45.8%
Disgusted 45.4%
Sad 47.4%
Angry 46%
Confused 45.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 49.6%
Happy 49.8%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.9%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Male, 54.2%
Surprised 45.3%
Disgusted 52.8%
Happy 45.4%
Sad 45.3%
Angry 45.8%
Calm 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Surprised 46.3%
Happy 45.3%
Calm 47.3%
Angry 45.6%
Disgusted 45.5%
Sad 48.2%
Confused 46.8%

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Disgusted 49.8%
Angry 49.6%
Surprised 49.5%
Sad 49.6%
Calm 49.9%
Confused 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.7%
Confused 49.5%
Disgusted 49.5%
Surprised 49.6%
Calm 49.6%
Sad 49.7%
Happy 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.6%
Surprised 49.6%
Sad 49.9%
Confused 49.6%
Happy 49.6%
Calm 49.8%
Disgusted 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Angry 49.6%
Happy 49.9%
Confused 49.6%
Disgusted 49.6%
Sad 49.7%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 23-38
Gender Female, 52%
Sad 45.8%
Happy 48.5%
Angry 46.9%
Surprised 45.8%
Disgusted 46.2%
Confused 45.6%
Calm 46.2%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Disgusted 49.5%
Angry 49.7%
Sad 49.8%
Happy 49.6%
Calm 49.7%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 54.4%
Surprised 45.1%
Disgusted 45.1%
Angry 45.2%
Confused 45.1%
Calm 45.1%
Happy 45.3%
Sad 54.2%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.5%
Sad 50.3%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Surprised 49.5%
Angry 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.6%
Calm 50.2%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.5%
Surprised 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.6%
Happy 49.8%
Calm 50%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Confused 49.6%
Calm 49.9%
Happy 49.6%
Disgusted 49.5%
Sad 49.7%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Angry 49.7%
Calm 49.7%
Happy 49.6%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Angry 49.6%
Sad 50.2%
Happy 49.6%
Disgusted 49.6%
Calm 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Calm 49.5%
Sad 50.2%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Happy 49.5%
Calm 49.7%
Disgusted 49.5%
Angry 49.5%
Surprised 49.6%
Sad 50.1%
Confused 49.7%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Happy 49.7%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.8%
Sad 49.7%

Feature analysis

Amazon

Person 98.2%

Categories

Imagga

interior objects 99.5%

Text analysis

Amazon

tir
RE
lor