Human Generated Data

Title

Untitled (medicine show, Huntingdon, Tennessee)

Date

October 1935

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1415

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (medicine show, Huntingdon, Tennessee)

People

Artist: Ben Shahn, American 1898 - 1969

Date

October 1935

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1415

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-06

Clothing 100
Coat 99.9
Sun Hat 99.9
Adult 98
Male 98
Man 98
Person 98
Adult 97.8
Male 97.8
Man 97.8
Person 97.8
Person 97.4
Adult 96.9
Male 96.9
Man 96.9
Person 96.9
Adult 96.7
Male 96.7
Man 96.7
Person 96.7
Adult 96.6
Male 96.6
Man 96.6
Person 96.6
Person 95.9
Person 95.6
Person 95.2
Adult 95.1
Male 95.1
Man 95.1
Person 95.1
Person 95.1
Person 94.4
Adult 93.3
Male 93.3
Man 93.3
Person 93.3
Face 92.5
Head 92.5
Adult 92.2
Male 92.2
Man 92.2
Person 92.2
Person 91.2
Person 90.9
Person 90.3
Person 90.1
Person 89.1
Person 88.5
Adult 87.8
Male 87.8
Man 87.8
Person 87.8
Hat 83.9
Person 82.7
Hat 81.1
Person 79.6
Machine 76.6
Wheel 76.6
Person 76.6
Person 75.6
Person 75.5
Person 74.1
Person 73.9
Person 72
Person 71.4
Person 66.6
Person 64.6
Bus 64.5
Transportation 64.5
Vehicle 64.5
Crowd 62
Hat 60.9
Hat 58.3
Overcoat 57.9
Cap 57
People 56.9
Formal Wear 56.2
Suit 56.2

Clarifai
created on 2018-05-11

people 99.9
many 99.8
fedora 99.6
veil 99.5
group 99.4
lid 99.4
group together 99
crowd 98.4
man 96.9
adult 96.9
spectator 96.7
wear 96.4
administration 95.1
cowboy hat 93.5
leader 92
outfit 91.5
audience 91
woman 90.8
recreation 90.7
transportation system 87.4

Imagga
created on 2023-10-06

man 33.6
people 28.4
male 28.4
cowboy hat 28.1
hat 25.4
person 25
business 23.7
men 23.2
work 21.3
clothing 20.9
adult 20.1
businessman 19.4
headdress 19.1
happy 18.8
table 18.2
corporate 17.2
building 16.9
restaurant 16.5
job 15.9
passenger 15.9
office 15.8
city 15.8
worker 15.3
sitting 13.7
smile 13.5
working 12.4
executive 12.2
meeting 12.2
room 12.2
group 12.1
businesswoman 11.8
lifestyle 11.5
professional 11.5
together 11.4
industry 11.1
laptop 11.1
smiling 10.8
indoors 10.5
old 10.4
portrait 10.3
mature 10.2
day 10.2
scholar 10.1
street 10.1
communication 10.1
suit 10
team 9.8
seat 9.6
success 9.6
computer 9.6
women 9.5
businesspeople 9.5
casual 9.3
manager 9.3
industrial 9.1
seller 8.9
urban 8.7
couple 8.7
chair 8.6
architecture 8.6
travel 8.4
senior 8.4
equipment 8.4
structure 8.4
house 8.3
employee 8.3
teamwork 8.3
life 8.3
indoor 8.2
outdoors 8.2
father 8.1
intellectual 8.1
new 8.1
handsome 8
looking 8
conference 7.8
classroom 7.8
consumer goods 7.8
discussion 7.8
colleagues 7.8
covering 7.8
engineer 7.6
adults 7.6
career 7.6
hall 7.5
uniform 7.4
center 7.3
black 7.2
celebration 7.2
interior 7.1
modern 7

Google
created on 2018-05-11

Microsoft
created on 2018-05-11

person 99.3
indoor 94.2
people 68.6
group 55.5
crowd 1.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 28-38
Gender Male, 99.9%
Calm 92.8%
Surprised 6.3%
Fear 5.9%
Sad 5.1%
Angry 0.4%
Confused 0.3%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 48-56
Gender Male, 100%
Sad 45.7%
Calm 41.8%
Happy 14.7%
Surprised 8.4%
Fear 6.7%
Confused 4.3%
Angry 4.1%
Disgusted 3.7%

AWS Rekognition

Age 16-22
Gender Male, 95.3%
Calm 96.4%
Surprised 6.4%
Fear 5.9%
Sad 2.5%
Angry 2%
Disgusted 0.1%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 41-49
Gender Male, 99.9%
Calm 96.9%
Surprised 6.5%
Fear 5.9%
Sad 2.4%
Confused 0.9%
Angry 0.3%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 41-49
Gender Male, 100%
Calm 99.6%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Angry 0%
Confused 0%
Disgusted 0%

AWS Rekognition

Age 39-47
Gender Male, 100%
Calm 97.8%
Surprised 6.6%
Fear 5.9%
Sad 2.5%
Angry 0.2%
Confused 0.2%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 35-43
Gender Male, 100%
Calm 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Confused 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 23-33
Gender Female, 55.1%
Sad 100%
Surprised 6.3%
Fear 5.9%
Confused 0.3%
Calm 0.3%
Disgusted 0.1%
Angry 0.1%
Happy 0%

AWS Rekognition

Age 43-51
Gender Male, 99.6%
Surprised 99.6%
Fear 6.5%
Sad 2.3%
Calm 0.8%
Angry 0.6%
Confused 0.5%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 23-33
Gender Male, 100%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 21-29
Gender Male, 99.8%
Calm 76.6%
Surprised 8.1%
Confused 7.9%
Fear 6.8%
Sad 4.5%
Angry 3.8%
Disgusted 0.6%
Happy 0.2%

AWS Rekognition

Age 29-39
Gender Female, 56.3%
Sad 75.9%
Fear 25.3%
Calm 23.3%
Angry 9.3%
Surprised 6.9%
Disgusted 2.3%
Confused 2%
Happy 1.9%

AWS Rekognition

Age 51-59
Gender Male, 100%
Sad 94.5%
Happy 36.7%
Angry 9.3%
Surprised 6.6%
Fear 6.3%
Calm 3.4%
Disgusted 1.6%
Confused 0.6%

AWS Rekognition

Age 26-36
Gender Male, 99.9%
Sad 100%
Surprised 6.3%
Fear 5.9%
Calm 0.1%
Happy 0.1%
Disgusted 0.1%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 35-43
Gender Male, 99.7%
Surprised 57%
Calm 47.6%
Sad 10.2%
Fear 5.9%
Confused 4%
Angry 1.1%
Disgusted 0.8%
Happy 0.1%

AWS Rekognition

Age 26-36
Gender Female, 94.7%
Confused 43.8%
Calm 33.4%
Surprised 7.2%
Happy 7.1%
Fear 6.6%
Sad 4.6%
Angry 3.5%
Disgusted 3.2%

AWS Rekognition

Age 13-21
Gender Female, 71.2%
Sad 100%
Surprised 6.3%
Fear 6.1%
Calm 1.1%
Angry 0.5%
Happy 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 16-22
Gender Male, 96.3%
Calm 77.1%
Angry 12.4%
Surprised 6.4%
Fear 6.4%
Sad 3.4%
Happy 2.6%
Disgusted 2%
Confused 0.9%

Microsoft Cognitive Services

Age 62
Gender Male

Microsoft Cognitive Services

Age 51
Gender Male

Microsoft Cognitive Services

Age 50
Gender Male

Microsoft Cognitive Services

Age 51
Gender Male

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 38
Gender Male

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Adult 98%
Male 98%
Man 98%
Person 98%
Hat 83.9%
Wheel 76.6%
Bus 64.5%