Human Generated Data

Title

Untitled (group portrait of boy basketball players standing with females cheerleaders crouching on ground)
Date

1952-1953
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6575

Human Generated Data

Title

Untitled (group portrait of boy basketball players standing with females cheerleaders crouching on ground)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1952-1953

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6575

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Clothing 99.8
Apparel 99.8
Human 99.7
Person 99.7
Shorts 99.7
Person 99.4
Person 99.4
Person 99.4
Person 99.4
Person 99.3
Person 99
Person 98.8
Person 98.5
Person 97.5
Person 96.7
Helmet 91.5
Helmet 89.2
Person 89.1
People 88.8
Person 85.7
Sports 85.2
Sport 85.2
Athlete 78.2
Boy 78
Female 77.4
Helmet 74.1
Helmet 66.9
Person 63.6
Helmet 63.6
Girl 63.2
Helmet 62.6
Team 61.1
Face 60.3
Photography 60.3
Photo 60.3
Portrait 60.3
Crowd 58.8
Team Sport 58.2
Child 58.1
Kid 58.1
Exercise 55.2
Working Out 55.2
Fitness 55.2

Clarifai
created on 2019-03-26

people 99.3
man 97.7
adult 97.6
portrait 97.4
woman 96.8
group together 96.5
group 95.8
many 93.1
wear 92.9
athlete 92.6
outfit 91.7
uniform 88.7
facial expression 86.6
squad 86.6
cooperation 81.8
teamwork 81.2
competition 81
crowd 81
music 80.8
retro 80.5

Imagga
created on 2019-03-26

person 43
bathing cap 37.1
people 35.7
dancer 34.8
cap 28.7
adult 28.4
performer 27.6
group 27.4
clothing 25.7
male 25.5
man 25.5
athlete 22.4
headdress 22.4
women 22.1
businessman 22
men 21.4
silhouette 20.7
team 20.6
business 20
black 18.3
entertainer 18.3
runner 17.9
teamwork 17.6
body 17.6
sport 17.1
businesswoman 16.3
crowd 16.3
professional 16
together 15.8
attractive 15.4
contestant 15.3
couple 14.8
happy 14.4
nurse 14.2
success 13.7
model 13.2
standing 13
player 12.6
lifestyle 12.3
fashion 12
human 12
casual 11.9
elegance 11.7
happiness 11.7
dance 11.6
meeting 11.3
modern 11.2
portrait 11
active 10.9
pose 10.9
fitness 10.8
sportswear 10.7
art 10.7
handsome 10.7
posing 10.7
job 10.6
pretty 10.5
sexy 10.4
career 10.4
work 10.2
smiling 10.1
consumer goods 10.1
competition 10.1
covering 10
girls 10
looking 9.6
boy 9.6
worker 9.5
party 9.4
friends 9.4
youth 9.4
friendship 9.3
event 9.2
fit 9.2
hand 9.1
exercise 9.1
dress 9
office 8.8
employee 8.6
corporate 8.6
outline 8.5
golfer 8.5
teen 8.3
occupation 8.2
fun 8.2
lady 8.1
design 7.9
silhouettes 7.8
sitting 7.7
studio 7.6
females 7.6
power 7.5
stage 7.5
style 7.4
20s 7.3
teenager 7.3
graphic 7.3
confident 7.3
life 7.3
outfit 7.2
music 7.2
suit 7.2
hair 7.1

Google
created on 2019-03-26

Team 96.4
Photograph 94.8
Crew 58.7

Microsoft
created on 2019-03-26

person 98.1
posing 97.3
group 82.8
ballet 29.8
commencement 28.5
uniform 15.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-47
Gender Male, 52%
Angry 45.3%
Happy 46.9%
Disgusted 45.2%
Surprised 45.3%
Calm 51.5%
Sad 45.5%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Happy 50.3%
Disgusted 45.3%
Confused 45.7%
Angry 45.5%
Calm 46.8%
Sad 45.6%
Surprised 45.8%

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Calm 45.1%
Disgusted 45%
Confused 45%
Happy 54.5%
Surprised 45.1%
Angry 45.1%
Sad 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Angry 45.4%
Disgusted 45.1%
Calm 51.1%
Sad 46.1%
Surprised 45.3%
Confused 45.2%
Happy 46.9%

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Sad 50%
Happy 46.2%
Calm 46.3%
Angry 45.9%
Surprised 45.8%
Disgusted 45.4%
Confused 45.5%

AWS Rekognition

Age 26-43
Gender Male, 52.3%
Calm 50.1%
Happy 45.4%
Sad 48.1%
Angry 45.3%
Disgusted 45.3%
Confused 45.3%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Male, 52.9%
Sad 45.4%
Disgusted 45.2%
Happy 46.7%
Angry 45.4%
Confused 45.4%
Calm 51.2%
Surprised 45.8%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Sad 45.6%
Angry 45.4%
Happy 51.5%
Disgusted 45.3%
Surprised 45.5%
Confused 45.7%
Calm 46%

AWS Rekognition

Age 19-36
Gender Male, 54.8%
Angry 45.2%
Calm 45.2%
Confused 45.1%
Disgusted 45%
Surprised 45.3%
Sad 45.3%
Happy 53.9%

AWS Rekognition

Age 20-38
Gender Female, 50.6%
Disgusted 45.1%
Happy 51.8%
Angry 45.4%
Sad 46.4%
Calm 45.8%
Confused 45.2%
Surprised 45.4%

AWS Rekognition

Age 38-59
Gender Male, 52.2%
Disgusted 45.1%
Calm 53.6%
Confused 45.3%
Sad 45.2%
Happy 45.4%
Surprised 45.2%
Angry 45.1%

AWS Rekognition

Age 20-38
Gender Male, 52.8%
Disgusted 45.1%
Calm 45%
Sad 45.2%
Confused 45.1%
Happy 54.2%
Surprised 45.2%
Angry 45.1%

AWS Rekognition

Age 20-38
Gender Male, 54.6%
Disgusted 45.1%
Surprised 46.3%
Calm 51.7%
Sad 46.2%
Angry 45.3%
Confused 45.2%
Happy 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.4%
Disgusted 45.3%
Happy 45.6%
Calm 52.3%
Angry 45.5%
Surprised 45.5%
Sad 45.5%

Feature analysis

Amazon

Person 99.7%
Helmet 91.5%

Text analysis

Amazon

15
3
7
13
6
5 3 13 6
9 6 7
5
9
KODK-2LEL
stea
oo

Google

4 5 3 13 9 6 15
4
5
3
13
9
6
15