Human Generated Data

Title

Untitled (Memphis, 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, P1970.1200
Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (Memphis, 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, P1970.1200

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-07

People 99.5
Person 99.1
Adult 99.1
Male 99.1
Man 99.1
Person 99.1
Adult 99.1
Female 99.1
Woman 99.1
Person 98.9
Person 98.3
Person 98.3
Person 98.3
Person 98.2
Person 98
Person 97.8
Person 97.6
Person 96.9
Male 96.9
Boy 96.9
Child 96.9
Person 96.9
Clothing 96.8
Coat 96.8
Person 96.5
Person 96.3
Person 95.5
Adult 95.5
Male 95.5
Man 95.5
Accessories 94.7
Bag 94.7
Handbag 94.7
Person 94.5
Person 92.7
Formal Wear 89.9
Suit 89.9
Person 89.4
Footwear 89.2
Shoe 89.2
Person 89.1
Person 85.9
Person 76.5
Head 73.4
Shoe 71.7
Shoe 70.3
Shoe 69
Shoe 66
Face 65.3
Hat 65.2
Shorts 57.2
Overcoat 57
Shoe 56.7
Crowd 56.6
Jury 56.3

Clarifai
created on 2018-05-11

people 100
group together 99.8
many 99.8
group 98.5
adult 97.3
several 96.9
military 94.1
man 94
wear 93.2
administration 93.1
athlete 93.1
uniform 91.3
child 90.7
outfit 89.1
recreation 88.2
sports equipment 86.1
leader 82.9
spectator 80.3
five 80.3
woman 80.2

Imagga
created on 2023-10-07

man 30.9
people 30.1
stick 28.3
snow 25.9
sport 24.9
winter 24.7
male 24.1
person 22.9
wind instrument 21.8
men 18.9
cold 18.1
walking 18
musical instrument 17.6
active 16.8
sports equipment 16.3
ski 16.1
hockey stick 16.1
outdoors 15.7
outdoor 14.5
group 14.5
equipment 14.5
boy 13.9
brass 13.8
silhouette 13.2
adult 12.9
fun 12.7
activity 12.5
leisure 12.5
recreation 11.7
mountain 11.6
walk 11.4
world 11.2
skateboard 11.2
sword 11.1
action 11.1
women 11.1
skiing 10.8
vacation 10.6
cornet 10.6
businessman 10.6
extreme 10.5
business 10.3
street 10.1
exercise 10
success 9.7
couple 9.6
lifestyle 9.4
guy 9.4
season 9.4
weapon 9.3
sky 8.9
happy 8.8
together 8.8
day 8.6
board 8.6
child 8.5
travel 8.5
beach 8.4
sports 8.3
suit 8.1
athlete 7.9
sand 7.9
slope 7.8
freeze 7.8
full length 7.8
play 7.8
corporate 7.7
clothing 7.7
wheeled vehicle 7.6
cricket equipment 7.5
human 7.5
player 7.5
competition 7.3
sun 7.2
weather 7.2
worker 7.1
summer 7.1

Google
created on 2018-05-11

photograph 96.1
standing 90.7
black and white 85.7
snapshot 81.8
history 72.4
vintage clothing 71.6
monochrome photography 66.3
monochrome 62.9
human behavior 56
recreation 55.2
crew 54

Microsoft
created on 2018-05-11

person 99.8
outdoor 96.5
group 90.1
black 85.7
white 85.5
old 84.3
posing 79
player 74.4
clothes 15.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 2-10
Gender Female, 67%
Sad 93.9%
Calm 46.4%
Fear 7.4%
Surprised 7.2%
Happy 0.7%
Angry 0.6%
Disgusted 0.5%
Confused 0.4%

AWS Rekognition

Age 39-47
Gender Male, 92.9%
Sad 54.7%
Disgusted 51.1%
Angry 11.9%
Surprised 6.7%
Fear 6.6%
Confused 3.6%
Calm 2.3%
Happy 0.5%

AWS Rekognition

Age 36-44
Gender Male, 99.9%
Calm 45.2%
Disgusted 35.6%
Sad 7.5%
Surprised 6.9%
Fear 6.3%
Happy 3.1%
Confused 2.8%
Angry 1.8%

AWS Rekognition

Age 9-17
Gender Female, 69.8%
Surprised 99%
Calm 10.3%
Fear 6.1%
Sad 3.1%
Angry 0.5%
Disgusted 0.4%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 26-36
Gender Male, 98.8%
Calm 80.6%
Surprised 8.4%
Angry 6.7%
Fear 6%
Sad 4.6%
Confused 2.1%
Disgusted 0.9%
Happy 0.3%

AWS Rekognition

Age 25-35
Gender Female, 83.9%
Fear 93.4%
Surprised 10%
Calm 5.8%
Confused 5.3%
Sad 2.4%
Happy 0.5%
Disgusted 0.4%
Angry 0.4%

AWS Rekognition

Age 20-28
Gender Male, 98.8%
Calm 95.8%
Surprised 6.3%
Fear 5.9%
Sad 3%
Angry 1.1%
Confused 0.3%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 14-22
Gender Male, 60.5%
Sad 81.3%
Calm 20.4%
Happy 12.2%
Confused 10.6%
Fear 9.7%
Surprised 7.6%
Disgusted 7.2%
Angry 2%

AWS Rekognition

Age 49-57
Gender Male, 95.9%
Calm 45.1%
Disgusted 26.2%
Angry 13.7%
Surprised 7.8%
Fear 6.3%
Sad 5.1%
Confused 2.8%
Happy 2%

AWS Rekognition

Age 27-37
Gender Male, 99.6%
Sad 100%
Surprised 6.4%
Fear 6.1%
Confused 2.5%
Disgusted 2.2%
Calm 0.9%
Angry 0.2%
Happy 0.2%

AWS Rekognition

Age 19-27
Gender Female, 63.2%
Confused 42.1%
Calm 35.2%
Angry 8.7%
Surprised 6.9%
Disgusted 6%
Fear 6%
Sad 4.3%
Happy 1.3%

AWS Rekognition

Age 18-24
Gender Female, 88.9%
Sad 92.2%
Calm 19%
Fear 13.9%
Angry 9.5%
Surprised 9%
Happy 4.4%
Confused 3.1%
Disgusted 1.4%

AWS Rekognition

Age 16-24
Gender Male, 95.5%
Calm 91.2%
Surprised 8.2%
Fear 6.4%
Sad 2.8%
Disgusted 0.8%
Confused 0.6%
Angry 0.5%
Happy 0.3%

Microsoft Cognitive Services

Age 9
Gender Female

Microsoft Cognitive Services

Age 40
Gender Male

Microsoft Cognitive Services

Age 37
Gender Male

Feature analysis

Amazon

Person 99.1%
Adult 99.1%
Male 99.1%
Man 99.1%
Female 99.1%
Woman 99.1%
Boy 96.9%
Child 96.9%
Handbag 94.7%
Shoe 89.2%
Hat 65.2%