Human Generated Data

Title

Citizens of Regimentation
Date

2004
People

Artist: Marcel Dzama, Canadian born 1974

Publisher: I. C. Editions, Inc.,

Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Margaret Fisher Fund, M26682

Human Generated Data

Title

Citizens of Regimentation

People

Artist: Marcel Dzama, Canadian born 1974

Publisher: I. C. Editions, Inc.,

Date

2004

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Margaret Fisher Fund, M26682

Machine Generated Data

Tags

Amazon
created on 2019-11-03

Person 91.9
Human 91.9
Person 90.3
Person 87.8
Person 79.8
Person 79.4
Person 79
Person 77.8
Person 74.3
Person 74
Person 73.6
Advertisement 70.9
Poster 70.9
Person 70.2
Figurine 70.1
Person 68.9
Bronze 68.9
Collage 67.2
Person 67
Outdoors 66.4
Person 65.7
Person 64.4
Person 62.7
Person 60.4
Nature 60.2
Person 60.2
Person 56.6
Person 56.1
Person 49.6
Person 48.2

Clarifai
created on 2019-11-03

group 99.7
people 99.6
woman 98.8
collection 98.8
adult 98.1
man 97.9
illustration 97.6
crowd 97.5
mammal 97.1
silhouette 96.8
many 95.7
teamwork 94.9
bird 93.1
action energy 91.4
dog 90.6
wear 90
girl 89.3
wildlife 89.2
art 88.2
nature 87.9

Imagga
created on 2019-11-03

people 45.1
silhouette 44.7
group 43.5
shopping 31.8
silhouettes 31
women 27.7
crowd 26.9
man 26.9
men 24.9
male 24.8
boy 23.3
team 23.3
business 23.1
black 22.3
person 21
outline 20.8
girls 20
body 19.2
fashion 18.8
businessman 17.6
design 17.4
work 17.2
collection 17.1
adult 16.9
human 16.5
happy 16.3
dance 16.2
success 15.3
friends 15
fun 15
gymnasium 13.8
set 13.6
dress 13.5
modern 13.3
sport 13.3
females 13.2
action 13
teamwork 13
many 12.9
sexy 12.8
art 12.8
suit 12.7
posing 12.4
graphic 12.4
clothing 11.4
office 11.2
shape 11.2
athletic facility 11
casual 11
standing 10.4
style 10.4
active 10.3
party 10.3
friendship 10.3
tracing 10
pose 10
job 9.7
facility 9.6
drawing 9.5
walk 9.5
walking 9.5
colleague 9.5
dancer 9.2
painting 9.1
businesswoman 9.1
figure 9
boys 8.7
couple 8.7
professional 8.6
model 8.5
child 8.5
bag 8.5
outfit 8.4
elegance 8.4
company 8.4
old 8.3
hand 8.3
children 8.2
lady 8.1
shadow 8.1
family 8
smile 7.8
jumping 7.7
dancing 7.7
diversity 7.7
youth 7.7
meeting 7.5
joy 7.5
occupation 7.3
successful 7.3
worker 7.1
together 7

Google
created on 2019-11-03

People 93.9
Standing 82.8
Human 77.7
Font 68.6
Art 65.5
Illustration 64
Gesture 58.5
Animation 55.8
Team 52.3

Microsoft
created on 2019-11-03

sky 98.7
cartoon 95.2
text 81.2
drawing 72.5
sketch 55
various 50.8
different 42.7
several 39.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-29
Gender Female, 50%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Sad 50.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 9-19
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.9%
Angry 49.7%
Fear 49.5%
Confused 49.5%
Sad 49.7%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 7-17
Gender Female, 50.3%
Fear 49.6%
Surprised 49.6%
Confused 49.6%
Calm 49.9%
Disgusted 49.5%
Happy 49.7%
Sad 49.6%
Angry 49.6%

AWS Rekognition

Age 9-19
Gender Female, 50%
Happy 49.5%
Surprised 49.6%
Confused 49.6%
Calm 49.6%
Angry 49.8%
Fear 49.5%
Disgusted 49.8%
Sad 49.6%

AWS Rekognition

Age 22-34
Gender Male, 50.5%
Confused 49.6%
Fear 49.5%
Sad 49.6%
Happy 49.5%
Surprised 49.6%
Angry 49.9%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 3-9
Gender Male, 50.1%
Surprised 50.4%
Angry 49.5%
Calm 49.5%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 19-31
Gender Female, 50.4%
Fear 49.5%
Angry 49.5%
Calm 50.4%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 1-7
Gender Female, 50.3%
Angry 49.5%
Surprised 49.6%
Confused 49.5%
Fear 49.7%
Calm 49.9%
Happy 49.5%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

Age 13-25
Gender Male, 50.4%
Angry 49.5%
Happy 49.5%
Fear 49.6%
Disgusted 49.5%
Calm 50%
Surprised 49.8%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 17-29
Gender Female, 50.1%
Calm 50%
Happy 49.5%
Sad 49.5%
Fear 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.8%

AWS Rekognition

Age 3-11
Gender Female, 50.3%
Fear 49.5%
Sad 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 50.4%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-43
Gender Male, 50.3%
Disgusted 49.5%
Surprised 49.9%
Angry 49.7%
Confused 49.5%
Fear 49.8%
Happy 49.5%
Sad 49.5%
Calm 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Happy 49.5%
Angry 49.6%
Surprised 49.6%
Fear 49.6%
Sad 49.6%
Calm 49.8%
Confused 49.5%
Disgusted 49.7%

AWS Rekognition

Age 17-29
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Fear 49.5%
Disgusted 49.5%
Angry 49.8%
Confused 49.5%
Sad 49.6%
Calm 50.2%

AWS Rekognition

Age 32-48
Gender Male, 50.2%
Confused 49.5%
Fear 49.7%
Surprised 49.9%
Disgusted 49.5%
Sad 49.5%
Calm 49.6%
Angry 49.6%
Happy 49.7%

AWS Rekognition

Age 23-37
Gender Female, 50%
Calm 49.8%
Angry 49.5%
Disgusted 49.5%
Sad 50.1%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.2%
Calm 50%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Fear 49.6%
Confused 49.5%
Angry 49.5%
Surprised 49.7%

Feature analysis

Amazon

Person 91.9%

Categories

Imagga

text visuals 88.8%
paintings art 9.9%

Captions

Text analysis

Amazon

4tfilm
imiflien
lu.t

Google

im.t
im.t