Human Generated Data

Title

Untitled (large group portrait with bride)

Date

1946, copied later

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, 4.2002.19502

Human Generated Data

Title

Untitled (large group portrait with bride)

People

Artist: Samuel Cooper, American active 1950s

Date

1946, copied later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.19502

Machine Generated Data

Tags

Amazon
created on 2019-10-29

Person 98.2
Human 98.2
Person 98
Person 98
Clothing 97.4
Apparel 97.4
Person 97.2
Person 96.5
Person 95.7
Person 95.2
Person 92.7
Person 86.9
Person 84.2
Person 83.5
Face 82.6
Female 82.4
Person 80.6
Dress 80.2
People 78.4
Person 76.9
Person 75.9
Crowd 73.7
Person 70.7
Person 68.7
Suit 67.9
Coat 67.9
Overcoat 67.9
Person 66.1
Advertisement 66.1
Woman 65.5
Performer 64.1
Helmet 63.6
Photography 61
Photo 61
Girl 60.6
Indoors 58.6
Poster 57.2
Collage 55.2

Clarifai
created on 2019-10-29

people 99.9
group 99.8
group together 99.4
many 97.6
woman 97.4
adult 97.3
several 96.6
man 95.8
portrait 93.9
leader 93.9
five 92.6
wear 90.5
education 89.9
child 89
outfit 87.6
music 87.1
facial expression 86.5
four 86
administration 83.7
uniform 82.5

Imagga
created on 2019-10-29

people 32.9
person 32.4
man 26.2
adult 23.2
male 22.7
teacher 22.7
professional 20
happy 18.8
men 18
businessman 17.6
couple 17.4
business 17
group 16.9
happiness 15.7
barbershop 15.6
educator 15.5
room 15
dress 14.4
women 14.2
black 13.9
shop 13.9
planner 13.5
groom 12.7
love 11.8
life 11.7
bride 11.5
fashion 11.3
home 11.2
indoor 10.9
clothing 10.9
silhouette 10.8
nurse 10.5
interior 9.7
indoors 9.7
office 9.6
mercantile establishment 9.6
smiling 9.4
hand 9.1
portrait 9.1
fun 9
team 8.9
family 8.9
brass 8.8
holiday 8.6
bouquet 8.5
casual 8.5
world 8.4
worker 8.3
wedding 8.3
style 8.2
mother 8.1
celebration 8
together 7.9
design 7.9
party 7.7
husband 7.7
corporate 7.7
modern 7.7
executive 7.7
dance 7.6
two 7.6
elegance 7.6
clothes 7.5
kin 7.4
cheerful 7.3
new 7.3
cornet 7.3
board 7.2
color 7.2
lifestyle 7.2
wind instrument 7.2
classroom 7.1
night 7.1
job 7.1
work 7.1

Google
created on 2019-10-29

Microsoft
created on 2019-10-29

text 99.5
clothing 95.2
person 94.6
dress 92.4
woman 91.5
posing 87.2
wedding dress 86.1
bride 69.2
group 60.9
dance 52.3
smile 50
old 42.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 31-47
Gender Male, 53.7%
Disgusted 45.1%
Angry 46.2%
Fear 45.2%
Calm 48.5%
Happy 48.4%
Sad 46.3%
Surprised 45.3%
Confused 45.1%

AWS Rekognition

Age 30-46
Gender Male, 54.1%
Angry 45.2%
Calm 45.7%
Fear 45.3%
Confused 45.1%
Disgusted 45.1%
Happy 46%
Sad 52.4%
Surprised 45.1%

AWS Rekognition

Age 34-50
Gender Male, 54.7%
Fear 45%
Sad 45%
Calm 45.3%
Confused 45%
Disgusted 45%
Happy 54.7%
Angry 45%
Surprised 45%

AWS Rekognition

Age 23-37
Gender Female, 52%
Fear 45.7%
Sad 45%
Happy 49.3%
Disgusted 45%
Surprised 49.3%
Calm 45.5%
Angry 45%
Confused 45.1%

AWS Rekognition

Age 22-34
Gender Female, 51.7%
Confused 45.2%
Sad 46.1%
Happy 49.8%
Fear 45.2%
Calm 48.2%
Angry 45.1%
Surprised 45.2%
Disgusted 45.1%

AWS Rekognition

Age 35-51
Gender Male, 51.4%
Calm 45.7%
Angry 45.1%
Confused 45.1%
Surprised 45%
Disgusted 45%
Happy 53.6%
Fear 45%
Sad 45.4%

AWS Rekognition

Age 39-57
Gender Male, 50.1%
Fear 45%
Sad 45%
Happy 54.7%
Disgusted 45%
Surprised 45%
Calm 45.2%
Angry 45%
Confused 45%

AWS Rekognition

Age 29-45
Gender Female, 51.7%
Calm 46.7%
Happy 45%
Confused 45%
Fear 45%
Disgusted 45%
Surprised 45%
Sad 53%
Angry 45.2%

AWS Rekognition

Age 45-63
Gender Female, 54.4%
Calm 47.3%
Surprised 45.6%
Confused 45.5%
Angry 45.1%
Fear 46.5%
Disgusted 45.1%
Happy 46.9%
Sad 48%

AWS Rekognition

Age 23-37
Gender Male, 54.7%
Fear 45%
Sad 45.1%
Happy 45.3%
Disgusted 45%
Surprised 45%
Calm 54.6%
Angry 45%
Confused 45%

AWS Rekognition

Age 35-51
Gender Male, 54.8%
Disgusted 46.1%
Happy 45%
Fear 46.5%
Surprised 47.1%
Angry 45.3%
Calm 47.5%
Sad 45.4%
Confused 47%

AWS Rekognition

Age 23-35
Gender Male, 51.3%
Surprised 45%
Disgusted 45%
Sad 47.8%
Fear 45%
Happy 45.2%
Calm 51.8%
Angry 45.1%
Confused 45%

AWS Rekognition

Age 22-34
Gender Female, 54.3%
Disgusted 45.1%
Happy 45.8%
Angry 45.4%
Confused 45.4%
Calm 48.9%
Fear 45.5%
Sad 45.7%
Surprised 48.2%

AWS Rekognition

Age 30-46
Gender Female, 54.5%
Happy 45.1%
Confused 45.1%
Disgusted 45%
Sad 46%
Angry 45.1%
Fear 45.2%
Calm 53.6%
Surprised 45%

AWS Rekognition

Age 23-37
Gender Male, 54.4%
Disgusted 45%
Surprised 45%
Confused 45%
Sad 45.1%
Happy 52.8%
Fear 45%
Angry 45%
Calm 47%

AWS Rekognition

Age 22-34
Gender Female, 52.4%
Fear 45%
Happy 54.5%
Surprised 45%
Disgusted 45%
Calm 45.4%
Sad 45%
Angry 45%
Confused 45%

AWS Rekognition

Age 33-49
Gender Male, 51.1%
Fear 45%
Happy 45.1%
Surprised 45%
Calm 54.7%
Confused 45%
Disgusted 45%
Sad 45.1%
Angry 45%

Feature analysis

Amazon

Person 98.2%
Helmet 63.6%
Poster 57.2%

Categories