Human Generated Data

Title

Untitled (young woman with bouquet of roses kneeling before man in robes for diploma, other graduates behind)

Date

1940

People

Artist: Curtis Studio, American active 1891 - 1935

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13003

Human Generated Data

Title

Untitled (young woman with bouquet of roses kneeling before man in robes for diploma, other graduates behind)

People

Artist: Curtis Studio, American active 1891 - 1935

Date

1940

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13003

Machine Generated Data

Tags

Amazon
created on 2022-02-05

Clothing 99.9
Apparel 99.9
Human 98
Person 96.1
Person 95.3
Robe 94.5
Fashion 94.5
Person 94.1
Wedding 93.9
Person 93.5
Gown 93.2
Person 87.9
Person 84.4
Bride 83.2
Wedding Gown 83.2
Person 82.5
Person 66.4
Flower 64.9
Blossom 64.9
Plant 64.9
Person 62.9
People 62.3
Female 61.9
Flower Arrangement 58.7
Flower Bouquet 58.2
Person 56.2
Bridesmaid 55.8
Person 45.6

Clarifai
created on 2023-10-29

people 99.9
group 99.2
many 99
leader 97.5
adult 96.8
wear 96
outfit 95.5
group together 95
ceremony 94.7
woman 93.3
man 93.3
administration 93.3
military 93.1
monarch 91.5
royalty 87.6
chair 87.1
several 86.7
furniture 84.8
veil 80.5
wedding 75.9

Imagga
created on 2022-02-05

man 16.1
boutique 15.9
people 15.6
person 15.4
hairdresser 15.3
black 15.1
art 14.8
salon 14.7
dress 14.4
old 13.9
vintage 13.2
portrait 12.9
party 12
adult 11.9
church 11.1
shop 10.7
fashion 10.5
barbershop 10.5
faith 10.5
couple 10.4
decoration 10.3
symbol 10.1
male 9.9
religion 9.8
catholic 9.8
spectator 9.7
detail 9.6
celebration 9.6
design 9.6
holiday 9.3
pretty 9.1
style 8.9
interior 8.8
groom 8.8
sexy 8.8
hair 8.7
antique 8.6
outfit 8.6
wall 8.5
culture 8.5
painter 8.5
clothing 8.1
romantic 8
lifestyle 7.9
kin 7.9
business 7.9
love 7.9
colorful 7.9
glass 7.8
men 7.7
elegant 7.7
holy 7.7
grunge 7.7
two 7.6
happy 7.5
religious 7.5
city 7.5
aged 7.2
home 7.2
handsome 7.1

Google
created on 2022-02-05

Microsoft
created on 2022-02-05

text 95.1
wedding dress 91.7
sport 90.5
clothing 87.1
bride 85.9
person 80.6
dress 78.7
woman 72.6
wedding 68.1
dance 63.1
clothes 40.7
posing 37.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 34-42
Gender Male, 96.7%
Happy 81.2%
Calm 7.4%
Fear 5.2%
Sad 2.5%
Surprised 1.7%
Disgusted 0.9%
Angry 0.6%
Confused 0.5%

AWS Rekognition

Age 33-41
Gender Male, 85.9%
Calm 75.7%
Fear 9.8%
Happy 7%
Surprised 4.1%
Sad 1.1%
Angry 1%
Confused 0.7%
Disgusted 0.6%

AWS Rekognition

Age 28-38
Gender Female, 78.9%
Happy 94.3%
Calm 3.3%
Surprised 2.1%
Fear 0.1%
Disgusted 0.1%
Angry 0.1%
Sad 0%
Confused 0%

AWS Rekognition

Age 45-51
Gender Male, 80.4%
Calm 83.8%
Happy 12.9%
Sad 1.5%
Surprised 1.1%
Disgusted 0.3%
Confused 0.2%
Angry 0.2%
Fear 0.1%

AWS Rekognition

Age 25-35
Gender Male, 99.4%
Calm 88.3%
Sad 9.5%
Angry 0.9%
Fear 0.4%
Surprised 0.3%
Happy 0.2%
Confused 0.2%
Disgusted 0.1%

AWS Rekognition

Age 24-34
Gender Female, 77.1%
Calm 96.3%
Fear 1.9%
Happy 1%
Surprised 0.4%
Sad 0.3%
Confused 0.1%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 28-38
Gender Female, 99.2%
Calm 92.5%
Happy 3.3%
Surprised 1.7%
Confused 1.3%
Sad 0.4%
Angry 0.4%
Disgusted 0.3%
Fear 0.1%

AWS Rekognition

Age 33-41
Gender Female, 67.8%
Happy 72.9%
Calm 22.7%
Surprised 2.8%
Fear 0.5%
Sad 0.4%
Confused 0.3%
Disgusted 0.2%
Angry 0.2%

AWS Rekognition

Age 22-30
Gender Male, 88%
Happy 45.9%
Sad 40.2%
Calm 7.9%
Fear 2.4%
Surprised 1.4%
Angry 1.1%
Disgusted 0.7%
Confused 0.4%

AWS Rekognition

Age 23-31
Gender Female, 99.7%
Calm 99.8%
Surprised 0.1%
Sad 0%
Happy 0%
Disgusted 0%
Angry 0%
Confused 0%
Fear 0%

Feature analysis

Amazon

Person
Person 96.1%
Person 95.3%
Person 94.1%
Person 93.5%
Person 87.9%
Person 84.4%
Person 82.5%
Person 66.4%
Person 62.9%
Person 56.2%
Person 45.6%

Categories

Text analysis

Amazon

P-PPPPI
8-88818 P-PPPPI
8-88818