Human Generated Data

Title

Untitled (Fourth of July Carnival and Fishfry, Ashville, Ohio)
Date

July 1938
People

Artist: Ben Shahn, American 1898 - 1969
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.657
Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (Fourth of July Carnival and Fishfry, Ashville, Ohio)

People

Artist: Ben Shahn, American 1898 - 1969

Date

July 1938

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.657

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-06

Adult 99.5
Female 99.5
Person 99.5
Woman 99.5
Clothing 99
Person 98.3
Person 98.2
Adult 98.1
Person 98.1
Male 98.1
Man 98.1
Crowd 98.1
Person 98.1
Person 98.1
Adult 97.9
Person 97.9
Male 97.9
Man 97.9
Person 97.3
Adult 97.1
Person 97.1
Male 97.1
Man 97.1
Person 96.9
Adult 96.9
Person 96.9
Male 96.9
Man 96.9
Person 96.6
Person 96.5
Person 96.5
Person 96.3
Person 96.1
Person 95.7
Person 95.4
Adult 95.3
Person 95.3
Male 95.3
Man 95.3
Adult 94.6
Person 94.6
Male 94.6
Man 94.6
Person 94.5
Person 94.5
Person 94.1
Person 93.9
Person 93
Person 91.6
Adult 89.1
Female 89.1
Person 89.1
Woman 89.1
Bride 89.1
Wedding 89.1
Face 89
Head 89
Person 89
Person 88.6
Person 88.2
Person 87
Person 83.2
Person 79.9
Person 75.1
Person 74.5
Person 74.2
Person 71.7
Hat 67.8
Person 63.8
People 61.3
Audience 60.9
Electrical Device 57.7
Microphone 57.7
Photographer 56.7
Musical Instrument 56.3
Speech 56
Leisure Activities 55.8
Music 55.8
Musician 55.8
Performer 55.8
Photography 55.3

Clarifai
created on 2018-05-11

people 100
many 99.8
group 99.8
group together 98.8
adult 97.6
administration 95.8
crowd 95.6
leader 94.8
recreation 94.8
man 94.7
woman 92.7
chair 90.9
spectator 90.7
child 90.7
several 89.6
vehicle 88.2
war 88.1
instrument 85.1
furniture 85.1
wear 84.4

Imagga
created on 2023-10-06

brass 61
wind instrument 49
cornet 42.7
musical instrument 41
trombone 23.3
city 22.4
people 21.2
architecture 20.3
old 18.8
man 16.8
history 15.2
person 14.4
pedestrian 13.9
male 13.5
men 12.9
building 12.9
work 12.6
uniform 12.6
war 12.5
historical 12.2
military 11.6
sculpture 11.5
sky 10.8
statue 10.5
army 9.7
group 9.7
looking 9.6
culture 9.4
monument 9.3
historic 9.2
travel 9.1
adult 9.1
device 8.8
urban 8.7
music 8.7
horn 8.4
house 8.3
town 8.3
street 8.3
tourism 8.2
aged 8.1
religion 8.1
scene 7.8
ancient 7.8
hand 7.6
spectator 7.6
vintage 7.4
room 7.4
life 7.4
new 7.3
business 7.3
home 7.2

Google
created on 2018-05-11

crowd 89.7
black and white 83.8
history 65
vehicle 63.7
monochrome photography 63.6
monochrome 58.3
recreation 56.9
crew 51.7

Microsoft
created on 2018-05-11

person 99.8
outdoor 92.7
group 83.9
people 78.6
player 73.7
crowd 49.1
old 48.3
team 38.1

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 23-33
Gender Male, 90.3%
Happy 57.7%
Calm 17.1%
Confused 11.7%
Surprised 7.7%
Fear 6.8%
Disgusted 6.8%
Sad 2.5%
Angry 0.8%

AWS Rekognition

Age 24-34
Gender Male, 99.9%
Sad 100%
Disgusted 14%
Surprised 6.3%
Fear 6%
Confused 0.4%
Happy 0.2%
Angry 0.1%
Calm 0.1%

AWS Rekognition

Age 23-31
Gender Male, 99.8%
Calm 92%
Surprised 6.4%
Fear 5.9%
Angry 3.3%
Sad 2.2%
Confused 1.9%
Disgusted 1%
Happy 0.9%

AWS Rekognition

Age 41-49
Gender Male, 100%
Confused 41.8%
Calm 30.9%
Angry 23.1%
Surprised 6.6%
Fear 6%
Sad 2.6%
Disgusted 1.4%
Happy 0.6%

AWS Rekognition

Age 37-45
Gender Male, 100%
Disgusted 53%
Angry 29.9%
Calm 10.8%
Surprised 6.6%
Fear 6.1%
Confused 3.9%
Sad 2.3%
Happy 0.5%

AWS Rekognition

Age 28-38
Gender Male, 99.7%
Angry 53.3%
Confused 24.2%
Calm 16.7%
Surprised 6.4%
Fear 6%
Disgusted 3.3%
Sad 2.5%
Happy 0.5%

AWS Rekognition

Age 23-33
Gender Female, 99.7%
Calm 87.5%
Sad 10.1%
Surprised 6.3%
Fear 5.9%
Angry 0.7%
Happy 0.2%
Confused 0.2%
Disgusted 0.1%

AWS Rekognition

Age 23-33
Gender Female, 99.2%
Calm 92.4%
Surprised 6.3%
Fear 5.9%
Sad 4.6%
Happy 1%
Disgusted 0.4%
Angry 0.2%
Confused 0.2%

AWS Rekognition

Age 30-40
Gender Male, 99%
Disgusted 75.7%
Calm 9.8%
Confused 7.4%
Surprised 6.4%
Fear 6%
Sad 4.7%
Angry 0.8%
Happy 0.2%

AWS Rekognition

Age 22-30
Gender Male, 82.5%
Calm 93.4%
Surprised 6.3%
Fear 5.9%
Sad 4.3%
Happy 0.7%
Disgusted 0.3%
Angry 0.2%
Confused 0.1%

AWS Rekognition

Age 31-41
Gender Female, 97.6%
Sad 97.8%
Disgusted 37.9%
Surprised 6.5%
Fear 6.2%
Confused 3.5%
Calm 1.9%
Happy 1.4%
Angry 0.6%

AWS Rekognition

Age 22-30
Gender Male, 98.7%
Sad 100%
Surprised 6.5%
Fear 6.3%
Confused 6.1%
Disgusted 2.3%
Angry 1.6%
Calm 1.1%
Happy 0.2%

AWS Rekognition

Age 18-24
Gender Male, 98.5%
Sad 100%
Calm 7%
Surprised 6.3%
Fear 5.9%
Happy 1.7%
Angry 0.4%
Confused 0.3%
Disgusted 0.1%

AWS Rekognition

Age 23-31
Gender Female, 87.9%
Calm 36.3%
Confused 25%
Fear 9.7%
Disgusted 9.5%
Surprised 7.6%
Sad 7.4%
Happy 6.6%
Angry 3%

AWS Rekognition

Age 18-26
Gender Male, 99.6%
Calm 70.9%
Disgusted 16.6%
Surprised 6.5%
Confused 6.3%
Fear 6%
Angry 4.2%
Sad 2.4%
Happy 0.5%

AWS Rekognition

Age 21-29
Gender Male, 89.9%
Happy 50.2%
Calm 21.5%
Confused 12.2%
Surprised 7.5%
Fear 6.4%
Sad 4.9%
Disgusted 4.2%
Angry 2.3%

AWS Rekognition

Age 27-37
Gender Male, 77.7%
Confused 30.8%
Sad 19.1%
Calm 16.8%
Disgusted 12.6%
Surprised 12.4%
Fear 8.4%
Happy 6.4%
Angry 2.3%

AWS Rekognition

Age 23-31
Gender Female, 96.1%
Calm 85.4%
Sad 13%
Surprised 6.3%
Fear 5.9%
Happy 0.4%
Confused 0.2%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 99.1%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Happy 0.2%
Confused 0.1%
Disgusted 0.1%
Angry 0%

Microsoft Cognitive Services

Age 8
Gender Male

Feature analysis

Amazon

Adult 99.5%
Female 99.5%
Person 99.5%
Woman 99.5%
Male 98.1%
Man 98.1%
Bride 89.1%
Hat 67.8%

Text analysis

Amazon

ETIC-ARIME