Human Generated Data

Title

Untitled (large group portrait in front of building)
Date

1937
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3972

Human Generated Data

Title

Untitled (large group portrait in front of building)

People

Artist: Durette Studio, American 20th century

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3972

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Apparel 99.9
Clothing 99.9
Person 99.7
Human 99.7
Person 99.6
Person 99.6
Person 99.6
Person 99.4
Person 99.4
Person 99.2
Person 98
Person 98
Person 98
Person 97.6
Fashion 97.3
Robe 97.3
Person 96.9
Person 96.9
Gown 96.3
Wedding 96
Person 95.7
Person 95.7
Wedding Gown 91
Bride 91
People 86.8
Person 75.3
Bridegroom 74.5
Evening Dress 64.9
Person 61.6
Female 58.1
Person 42.9

Clarifai
created on 2019-06-01

people 99.9
many 99.6
group 98.4
group together 98.3
adult 96.6
man 91.4
wear 91
crowd 90.6
ceremony 88.8
woman 88.5
administration 87.4
leader 83.5
child 81.6
wedding 79.3
military 78.3
uniform 76.2
education 74.7
dress 69.1
school 68.7
outfit 68.4

Imagga
created on 2019-06-01

sculpture 22.5
statue 22.4
architecture 21.8
building 21
history 19.7
tourism 18.1
old 18.1
art 17.7
monument 16.8
city 15.8
famous 14.9
church 14.8
landmark 14.4
religion 14.3
travel 14.1
brass 13.8
god 13.4
catholic 13
stone 13
people 12.8
marble 12.8
tourist 12.7
historic 11.9
musical instrument 11.9
ancient 11.2
decoration 10.8
structure 10.6
column 10.6
wind instrument 10.3
culture 10.2
traditional 10
dress 9.9
celebration 9.6
groom 9.5
person 9.5
love 9.5
historical 9.4
fountain 8.9
arch 8.8
couple 8.7
women 8.7
cathedral 8.6
bride 8.6
wall 8.5
religious 8.4
wedding 8.3
detail 8
temple 7.9
chair 7.8
color 7.8
kin 7.8
bugle 7.7
two 7.6
head 7.5
closeup 7.4
window 7.4
palace 7.3
antique 7.2
face 7.1

Google
created on 2019-06-01

Photograph 96.9
Standing 84.8
Snapshot 82.5
Black-and-white 74.4
Photography 70.6
Stock photography 69.8
Headgear 67.5
Monochrome 60.1
Style 54.3
Team 52.3

Microsoft
created on 2019-06-01

wedding dress 96.9
outdoor 96.4
bride 92.6
white 84.7
black 80.8
person 80.8
clothing 68.6
wedding 62
woman 61.5
dress 60.5
funeral 59.8
flower 57.4
old 47.1
several 10.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Male, 50.3%
Angry 49.6%
Sad 49.6%
Happy 49.5%
Calm 49.9%
Confused 49.7%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 52.5%
Happy 45.2%
Confused 45.5%
Angry 45.5%
Disgusted 45.4%
Surprised 45.5%
Sad 46.5%
Calm 51.4%

AWS Rekognition

Age 26-43
Gender Female, 52.2%
Angry 46%
Surprised 45.3%
Calm 45.2%
Sad 50.5%
Confused 45.2%
Disgusted 45.3%
Happy 47.4%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Calm 49.8%
Sad 49.6%
Surprised 49.6%
Angry 49.6%
Disgusted 49.7%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Female, 51.9%
Sad 47.2%
Calm 46.2%
Surprised 45.4%
Angry 49.9%
Disgusted 45.6%
Happy 45.4%
Confused 45.2%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.9%
Calm 49.6%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Happy 50.2%
Angry 49.5%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.5%
Sad 50.1%
Happy 49.5%
Surprised 49.5%
Calm 49.7%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Sad 49.7%
Calm 49.9%
Happy 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Disgusted 50%
Happy 49.5%
Surprised 49.6%
Sad 49.6%
Angry 49.7%
Confused 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.8%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Angry 49.6%
Calm 49.6%
Sad 49.6%
Surprised 49.6%
Disgusted 49.5%
Happy 50.1%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 49.9%
Angry 49.6%
Surprised 49.6%
Calm 49.7%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 38-57
Gender Female, 50.4%
Angry 49.6%
Happy 50%
Calm 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.6%
Sad 49.7%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 49.6%
Surprised 49.6%
Sad 49.7%
Confused 49.5%
Disgusted 49.6%
Happy 50%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Male, 50.2%
Confused 49.5%
Surprised 49.5%
Sad 49.8%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 50.1%

AWS Rekognition

Age 45-66
Gender Female, 50.4%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Happy 50.1%
Angry 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.1%
Happy 50.3%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.6%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.5%
Confused 49.6%
Surprised 49.5%
Happy 49.6%
Sad 50%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 52.8%
Calm 48.2%
Surprised 45.3%
Disgusted 45.6%
Happy 45.4%
Sad 49.2%
Confused 45.6%
Angry 45.5%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Angry 49.6%
Calm 49.8%
Sad 49.8%
Surprised 49.6%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.5%
Calm 49.6%
Angry 49.8%
Sad 50%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Angry 49.6%
Happy 49.6%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.7%
Angry 49.5%
Sad 49.8%
Surprised 49.6%
Happy 49.6%
Confused 49.7%

AWS Rekognition

Age 35-52
Gender Female, 53.9%
Happy 45.3%
Calm 45.2%
Angry 45.2%
Surprised 45.1%
Disgusted 45.1%
Confused 45.2%
Sad 53.9%

AWS Rekognition

Age 10-15
Gender Female, 52%
Disgusted 45.4%
Confused 45.4%
Surprised 45.2%
Calm 45.5%
Happy 45.2%
Angry 45.3%
Sad 53%

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50%
Disgusted 49.6%
Confused 49.6%
Surprised 49.5%
Calm 49.8%
Happy 49.6%
Angry 49.8%
Sad 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.6%
Disgusted 49.5%
Calm 49.5%
Happy 49.6%
Sad 50.2%
Angry 49.6%
Confused 49.5%

Feature analysis

Amazon

Person 99.7%

Categories

Imagga

interior objects 97.9%