Human Generated Data

Title

Charity, Aged: Belgium. Louvain. Refuge de Charité: Public Institutions, Louvain, Belgium: Refuge of Charity: Group of Boarders.
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, 3.2002.570.2

Human Generated Data

Title

Charity, Aged: Belgium. Louvain. Refuge de Charité: Public Institutions, Louvain, Belgium: Refuge of Charity: Group of Boarders.

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, 3.2002.570.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Human 99.1
Person 99.1
Person 99.1
Person 98.2
Person 98
Person 97.5
Person 95.9
Person 94.3
Person 93.4
Person 92.7
Clothing 90.1
Apparel 90.1
Person 89.3
Person 88.6
Person 84.9
People 78.6
Person 77.9
Person 69.6
Person 68.7
Person 64.5
Art 57
Painting 57
Monk 56
Flagstone 55.1
Person 54.4
Person 52.3
Person 49.3

Clarifai
created on 2019-06-07

people 100
many 99.9
group 99.6
group together 98.7
leader 98.4
adult 98
military 95.1
wear 93.6
administration 93
man 93
crowd 92.5
ceremony 92
soldier 90.9
funeral 90.4
several 90.1
child 89.1
woman 87.9
uniform 86.9
home 83.4
reverence 83.2

Imagga
created on 2019-06-07

cemetery 100
architecture 43.8
building 29.8
fence 25.2
monument 25.2
stone 23.1
picket fence 23
tourism 22.3
old 21.6
landmark 20.8
history 20.6
travel 19.7
city 19.1
house 18.2
statue 17.6
column 17
historical 16.9
ancient 16.4
sculpture 16.3
palace 15.9
street 15.7
church 14.8
famous 14
tourist 13.6
arch 13.6
religion 13.4
historic 12.8
culture 12.8
barrier 12.6
art 11.7
town 11.1
sky 10.8
traditional 10.8
memorial 10.7
facade 10.6
antique 10.4
construction 10.3
exterior 10.1
structure 10
government 9.8
home 9.6
wall 9.4
columns 8.8
gate 8.7
marble 8.7
flowers 8.7
capital 8.5
obstruction 8.4
destination 8.4
light 8
night 8
tree 7.7
style 7.4
fountain 7.4
window 7.3
summer 7.1

Google
created on 2019-06-07

Photograph 95.5
Almshouse 73.4
Crowd 66.3
Monochrome 64.3
Building 62.3
History 60.4
Vintage clothing 60
Uniform 59.9
Black-and-white 56.4
Style 51

Microsoft
created on 2019-06-07

building 99.8
outdoor 99
old 93.2
person 87.1
group 76.1
house 75.6
white 74
clothing 56.5
tree 55.4
line 19
several 17.8
colonnade 10.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 50.3%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Confused 49.5%
Calm 49.7%
Happy 49.5%
Sad 50.1%

AWS Rekognition

Age 35-53
Gender Male, 50.3%
Disgusted 49.5%
Surprised 49.5%
Sad 50%
Confused 49.6%
Calm 49.7%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 38-59
Gender Female, 52.4%
Calm 45.9%
Disgusted 45.3%
Sad 52%
Happy 45.5%
Surprised 45.3%
Angry 45.8%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 50%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.7%
Happy 49.8%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Surprised 49.6%
Angry 49.8%
Confused 49.6%
Sad 49.9%
Calm 49.6%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.6%
Sad 49.9%
Happy 49.7%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.8%

AWS Rekognition

Age 57-77
Gender Female, 54.3%
Angry 45.4%
Calm 48%
Confused 45.3%
Happy 45.8%
Surprised 45.2%
Disgusted 45.1%
Sad 50.1%

AWS Rekognition

Age 29-45
Gender Female, 54.9%
Calm 45.5%
Sad 46.8%
Surprised 45.2%
Disgusted 45.4%
Angry 45.2%
Confused 45.2%
Happy 51.6%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Angry 49.5%
Surprised 49.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.5%
Happy 49.6%
Calm 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Calm 49.3%
Confused 45.4%
Happy 45.8%
Disgusted 45.3%
Sad 47.8%
Angry 46.1%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 50%
Confused 49.5%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 50.3%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 49.5%
Calm 49.7%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 50.2%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.4%
Sad 46.8%
Confused 45.5%
Disgusted 45.5%
Calm 50%
Happy 45.5%
Angry 46.1%
Surprised 45.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Calm 49.7%
Angry 49.6%
Disgusted 49.5%
Happy 49.9%
Confused 49.6%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 60-90
Gender Male, 50.4%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Sad 49.7%
Confused 49.5%
Surprised 49.5%
Calm 50.2%

AWS Rekognition

Age 45-63
Gender Female, 50.2%
Calm 49.6%
Disgusted 49.9%
Angry 49.7%
Sad 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.9%
Sad 49.8%
Surprised 49.5%
Angry 49.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 57-77
Gender Female, 50.1%
Confused 49.5%
Sad 50%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.6%
Angry 49.7%
Calm 49.8%
Surprised 49.5%
Disgusted 49.6%
Sad 49.8%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50%
Happy 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.4%

AWS Rekognition

Age 49-69
Gender Female, 50%
Angry 49.6%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Calm 49.7%
Disgusted 50%

AWS Rekognition

Age 35-55
Gender Female, 50.3%
Calm 49.9%
Angry 49.7%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Happy 49.7%
Disgusted 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50%
Sad 49.7%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Calm 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 50.2%
Sad 49.7%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 52.5%
Confused 46%
Angry 45.5%
Surprised 46.3%
Calm 49.4%
Sad 46%
Happy 46.2%
Disgusted 45.7%

AWS Rekognition

Age 48-68
Gender Male, 50%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.5%
Confused 49.5%

AWS Rekognition

Age 45-66
Gender Male, 51.9%
Surprised 45.4%
Disgusted 46.3%
Sad 48.7%
Angry 45.6%
Confused 45.4%
Calm 47.6%
Happy 45.9%

AWS Rekognition

Age 45-66
Gender Female, 50.2%
Confused 49.5%
Sad 49.6%
Happy 49.9%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Happy 49.6%
Angry 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Calm 49.6%
Sad 50.1%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.5%
Angry 49.7%
Surprised 49.5%
Happy 49.6%
Sad 49.6%
Calm 50%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Happy 49.6%
Disgusted 49.9%
Sad 49.7%
Angry 49.6%
Confused 49.6%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.5%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Sad 49.7%
Disgusted 49.6%
Calm 49.9%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.1%
Painting 57%

Categories

Imagga

streetview architecture 89.7%
interior objects 9.1%