Human Generated Data

Title

Untitled (bride tossing bouquet)

Date

1965

People

Artist: Samuel Cooper, American active 1950s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19499

Human Generated Data

Title

Untitled (bride tossing bouquet)

People

Artist: Samuel Cooper, American active 1950s

Date

1965

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19499

Machine Generated Data

Tags

Amazon
created on 2019-10-29

Apparel 99.6
Clothing 99.6
Person 99.3
Human 99.3
Person 99.2
Person 98.8
Person 97.7
Person 96.8
Person 89.7
Indoors 89.1
Person 85.8
Person 83.6
Room 83.3
Fashion 81.3
Gown 81.3
Person 80.5
Robe 79.6
Wedding 75.7
Person 74.6
Furniture 72.2
Chair 72.2
Overcoat 71
Coat 71
Suit 71
Person 69.5
People 69.2
Person 66.7
Person 65.9
Wedding Gown 65.1
Photo 63
Photography 63
Person 62.2
Face 62.1
Portrait 62.1
Dress 61.7
Clinic 57.1
Female 55.4
Flooring 55.2
Person 53.5

Clarifai
created on 2019-10-29

people 99.8
group 99.6
group together 99.5
many 99.1
child 97.2
woman 96.7
adult 95
man 94.3
crowd 93.5
music 89.5
several 88.6
boy 86.6
dancing 86.5
audience 85
family 83.9
wear 82.7
education 81.9
musician 81.5
leader 80.4
monochrome 80

Imagga
created on 2019-10-29

teacher 42.1
person 35.4
man 30.9
people 28.4
adult 28.1
professional 27.2
educator 26.6
male 22.7
dancer 20.8
business 20.6
businessman 20.3
group 20.1
women 19
men 18.9
performer 17.4
silhouette 14.9
work 14.1
happy 13.8
indoors 13.2
room 12.8
entertainer 12.4
walking 12.3
couple 12.2
businesswoman 11.8
happiness 11.7
life 11.4
light 11.4
success 11.3
corporate 11.2
black 10.8
office 10.4
world 10.4
hospital 10.3
smiling 10.1
team 9.9
human 9.7
patient 9.5
education 9.5
sitting 9.4
worker 9.4
casual 9.3
two 9.3
clothing 9.3
communication 9.2
portrait 9.1
looking 8.8
together 8.8
student 8.8
hands 8.7
dance 8.6
nurse 8.6
blackboard 8.5
manager 8.4
holding 8.2
cheerful 8.1
idea 8
job 8
classroom 7.9
standing 7.8
table 7.8
school 7.7
talking 7.6
case 7.6
businesspeople 7.6
meeting 7.5
suit 7.3
art 7.3
color 7.2
lifestyle 7.2
chair 7.2
family 7.1
interior 7.1

Google
created on 2019-10-29

Microsoft
created on 2019-10-29

clothing 98.2
person 94.5
woman 93.3
dress 93.2
text 92.6
footwear 89.2
dance 82.1
man 75.6
wedding dress 51.5
old 42.2
posing 40.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 15-27
Gender Male, 52.5%
Surprised 45.1%
Calm 49%
Angry 49.7%
Disgusted 45.1%
Fear 45.1%
Happy 45.1%
Sad 45.8%
Confused 45.2%

AWS Rekognition

Age 13-23
Gender Female, 53.1%
Sad 45.2%
Happy 45.9%
Disgusted 45.4%
Fear 45.1%
Confused 45.2%
Surprised 45%
Angry 52.8%
Calm 45.4%

AWS Rekognition

Age 35-51
Gender Male, 52.4%
Happy 46.7%
Sad 45.5%
Calm 51.1%
Disgusted 45.1%
Surprised 45.5%
Confused 45.3%
Angry 45.4%
Fear 45.5%

AWS Rekognition

Age 17-29
Gender Female, 50.9%
Disgusted 45%
Happy 45.1%
Fear 45%
Surprised 45%
Angry 45.3%
Calm 49.3%
Sad 50.1%
Confused 45.1%

AWS Rekognition

Age 34-50
Gender Male, 52.1%
Disgusted 45.1%
Calm 45.7%
Surprised 45.4%
Confused 45.2%
Fear 45.9%
Happy 49.2%
Angry 47.3%
Sad 46.2%

AWS Rekognition

Age 38-56
Gender Male, 50.3%
Happy 50%
Angry 49.6%
Surprised 49.8%
Sad 49.5%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%
Calm 49.5%

AWS Rekognition

Age 48-66
Gender Male, 53.5%
Angry 46.7%
Happy 45%
Confused 45.2%
Surprised 45.2%
Disgusted 45%
Sad 45.5%
Fear 45%
Calm 52.3%

AWS Rekognition

Age 46-64
Gender Female, 52.4%
Sad 45.3%
Disgusted 45%
Confused 45%
Fear 45%
Happy 45%
Angry 45.1%
Calm 54.5%
Surprised 45%

AWS Rekognition

Age 28-44
Gender Female, 50.4%
Surprised 49.5%
Calm 49.8%
Disgusted 49.8%
Happy 49.6%
Fear 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.7%

AWS Rekognition

Age 30-46
Gender Female, 52.5%
Surprised 45.1%
Fear 45.5%
Angry 45.7%
Sad 49.9%
Calm 46.7%
Happy 46.5%
Confused 45.3%
Disgusted 45.3%

AWS Rekognition

Age 20-32
Gender Female, 50.4%
Fear 49.6%
Happy 49.7%
Surprised 49.5%
Calm 49.8%
Confused 49.5%
Disgusted 49.6%
Sad 49.6%
Angry 49.8%

AWS Rekognition

Age 13-23
Gender Male, 50.3%
Confused 49.5%
Disgusted 49.5%
Fear 49.5%
Happy 49.5%
Angry 50.5%
Sad 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50.3%
Angry 49.5%
Happy 49.9%
Calm 49.7%
Confused 49.5%
Surprised 49.7%
Sad 49.5%
Fear 49.6%
Disgusted 49.5%

AWS Rekognition

Age 56-74
Gender Male, 54%
Happy 45.1%
Fear 45.1%
Disgusted 45.1%
Angry 50.2%
Sad 46.8%
Surprised 45%
Confused 47.3%
Calm 45.5%

AWS Rekognition

Age 36-52
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.6%
Fear 49.5%
Happy 49.5%
Angry 49.7%
Sad 49.7%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.4%
Fear 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 49.6%
Calm 49.9%
Confused 49.6%
Happy 49.7%

AWS Rekognition

Age 19-31
Gender Female, 50.3%
Confused 49.5%
Fear 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Sad 49.5%
Angry 50.4%

AWS Rekognition

Age 25-39
Gender Male, 50.1%
Fear 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Angry 50.3%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.1%
Calm 49.9%
Surprised 49.5%
Sad 49.8%
Disgusted 49.5%
Fear 49.5%
Angry 49.7%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 28-44
Gender Female, 50.1%
Calm 49.7%
Happy 49.5%
Fear 49.5%
Sad 50.1%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-31
Gender Female, 50.3%
Happy 49.8%
Calm 49.9%
Sad 49.5%
Angry 49.7%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Disgusted 49.5%
Calm 49.8%
Sad 49.5%
Surprised 50%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 18-30
Gender Male, 50%
Confused 49.5%
Angry 49.7%
Fear 49.5%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 99.3%
Chair 72.2%

Categories

Text analysis

Amazon

6

Google