Human Generated Data

Title

Untitled (seven young women kneeling and standing in Masonic ceremony with audience watching)
Date

1951
People

Artist: Martin Schweig, 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, 4.2002.9363

Human Generated Data

Title

Untitled (seven young women kneeling and standing in Masonic ceremony with audience watching)

People

Artist: Martin Schweig, American 20th century

Date

1951

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9363

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Human 96.6
Person 96.6
Person 92.8
Person 92.5
Person 90.8
Person 86.2
Person 86.2
Crowd 80.5
Chair 80.3
Furniture 80.3
Indoors 79
Person 77
Person 76.2
Person 73.4
People 70.1
Room 69.3
Sitting 68.6
Person 66.9
Photography 66.4
Photo 66.4
Apparel 66.2
Clothing 66.2
Face 66.2
Portrait 66.2
Person 63.6
Person 60.6
Audience 59.8
Person 59.2
Female 56.9
Art 55.2

Clarifai
created on 2023-10-26

people 99.9
group 98.7
woman 98.1
many 98
adult 96.9
man 96.7
group together 94
monochrome 91.5
wear 89.8
several 89
furniture 88
sitting 86.3
sit 82.6
dancing 81.7
child 81.7
chair 80.7
adolescent 79
recreation 77.3
crowd 76.8
actor 73.7

Imagga
created on 2022-01-23

business 37
businessman 34.4
professional 33.7
office 33.7
people 32.9
man 30.9
adult 29.3
corporate 28.3
person 28.1
male 26.9
work 25.1
group 24.2
teacher 23.3
team 23.3
worker 23.1
salon 23
hairdresser 22.9
meeting 22.6
sitting 22.3
women 22.1
businesswoman 21.8
shop 20.5
teamwork 20.4
job 20.3
executive 19.9
men 19.7
working 19.4
room 18.9
laptop 17.6
happy 17.5
chair 17.1
success 16.9
communication 16.8
indoors 16.7
modern 16.1
computer 16.1
lifestyle 15.9
table 15.7
manager 14.9
barbershop 14.8
education 14.7
businesspeople 14.2
smiling 13.7
successful 13.7
classroom 13.2
training 12.9
suit 12.8
pretty 11.9
mercantile establishment 11.8
interior 11.5
desk 11.4
educator 11.4
smile 11.4
career 11.4
building 11.2
presentation 11.2
employee 10.5
hall 10.5
urban 10.5
company 10.2
finance 10.1
indoor 10
handsome 9.8
attractive 9.8
human 9.7
together 9.6
boss 9.6
two 9.3
place of business 9.3
occupation 9.2
hand 9.1
confident 9.1
holding 9.1
portrait 9.1
technology 8.9
conference 8.8
looking 8.8
home 8.8
life 8.6
talking 8.6
togetherness 8.5
center 8
black 7.8
sofa 7.7
corporation 7.7
expression 7.7
entrepreneur 7.7
workplace 7.6
ethnic 7.6
strength 7.5
furniture 7.4
exercise 7.3
board 7.2

Google
created on 2022-01-23

Black 89.8
Black-and-white 86.2
Style 84
Art 83.2
Chair 80.3
Font 79.4
Adaptation 79.3
Monochrome photography 75.1
Snapshot 74.3
Monochrome 71.9
Visual arts 68.9
Room 68.6
Vintage clothing 68.1
Event 66.4
History 65.5
Stock photography 64.8
Sitting 64.6
Table 61.6
Photographic paper 59.8
Illustration 59.2

Microsoft
created on 2022-01-23

text 93.9
black and white 87.8
clothing 85.7
person 72.7

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 23-31
Gender Male, 96.6%
Calm 64.7%
Happy 11.2%
Confused 9%
Angry 6.5%
Sad 3.8%
Disgusted 2.4%
Surprised 1.2%
Fear 1.2%

AWS Rekognition

Age 20-28
Gender Female, 79.8%
Calm 66.9%
Sad 13.5%
Fear 6.8%
Happy 6.1%
Confused 2.1%
Surprised 1.9%
Angry 1.7%
Disgusted 1%

AWS Rekognition

Age 18-26
Gender Female, 79.3%
Happy 51%
Calm 43.6%
Sad 2.3%
Angry 1%
Confused 1%
Surprised 0.4%
Disgusted 0.4%
Fear 0.4%

AWS Rekognition

Age 18-26
Gender Female, 78.7%
Calm 83%
Happy 7.7%
Sad 5.9%
Confused 1.2%
Angry 0.8%
Fear 0.6%
Surprised 0.4%
Disgusted 0.4%

AWS Rekognition

Age 23-31
Gender Female, 63%
Calm 73.6%
Happy 11.9%
Sad 11.1%
Angry 1%
Fear 0.7%
Confused 0.7%
Disgusted 0.7%
Surprised 0.3%

AWS Rekognition

Age 18-26
Gender Female, 58.5%
Calm 95.8%
Happy 1.3%
Sad 1.2%
Confused 0.9%
Angry 0.3%
Surprised 0.2%
Disgusted 0.2%
Fear 0.1%

AWS Rekognition

Age 18-24
Gender Female, 51.8%
Happy 69.9%
Calm 20.6%
Sad 4.1%
Confused 1.4%
Fear 1.4%
Angry 1.1%
Surprised 0.8%
Disgusted 0.6%

AWS Rekognition

Age 22-30
Gender Male, 81.3%
Calm 97.6%
Sad 1.6%
Confused 0.3%
Happy 0.3%
Angry 0.1%
Fear 0.1%
Surprised 0.1%
Disgusted 0%

AWS Rekognition

Age 21-29
Gender Female, 53.1%
Calm 51.9%
Happy 41%
Sad 2.3%
Disgusted 1.8%
Confused 1.5%
Angry 0.8%
Surprised 0.4%
Fear 0.3%

AWS Rekognition

Age 14-22
Gender Female, 93.4%
Calm 52.1%
Happy 32%
Sad 8%
Angry 3.8%
Confused 1.7%
Fear 1%
Disgusted 0.8%
Surprised 0.7%

AWS Rekognition

Age 19-27
Gender Female, 53%
Happy 62%
Calm 28.8%
Sad 2.9%
Confused 1.9%
Angry 1.3%
Surprised 1.2%
Fear 1%
Disgusted 0.9%

AWS Rekognition

Age 11-19
Gender Male, 97.7%
Calm 54%
Happy 33.5%
Sad 9.9%
Angry 0.6%
Confused 0.6%
Disgusted 0.6%
Fear 0.4%
Surprised 0.4%

AWS Rekognition

Age 18-26
Gender Female, 95.6%
Calm 50.6%
Happy 46%
Sad 1.6%
Confused 0.9%
Angry 0.3%
Disgusted 0.2%
Fear 0.2%
Surprised 0.2%

AWS Rekognition

Age 21-29
Gender Female, 77.5%
Happy 52.5%
Calm 28.8%
Sad 7.2%
Fear 4.4%
Confused 2.6%
Surprised 1.9%
Angry 1.5%
Disgusted 1%

AWS Rekognition

Age 21-29
Gender Female, 57.9%
Calm 81%
Happy 9.9%
Sad 3.9%
Angry 1.7%
Confused 1.6%
Fear 0.9%
Surprised 0.7%
Disgusted 0.6%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very likely

Feature analysis

Amazon

Person 96.6%
Chair 80.3%

Text analysis

Amazon

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