Human Generated Data

Title

Untitled (studio portrait of female graduates with matching outfits and diplomas)
Date

1934
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3800

Human Generated Data

Title

Untitled (studio portrait of female graduates with matching outfits and diplomas)

People

Artist: Durette Studio, American 20th century

Date

1934

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3800

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 98.4
Person 97.2
Indoors 96.5
Person 95.3
Person 95
Person 94.8
Room 94.5
Person 94.2
Crowd 94.2
Person 92.4
Musical Instrument 90.8
Music Band 90.8
Musician 90.8
Person 90.4
Person 90.2
Person 86.4
Theater 82.1
Concert 74.5
Person 69.4
Leisure Activities 67.5
Guitar 67.5
Person 65.6
Marching 55.7
Person 53.8

Clarifai
created on 2019-06-01

people 99.4
group 96.8
crowd 96.8
man 96.8
illustration 94.7
many 93.3
adult 93.2
woman 91.2
squad 86.2
person 84.6
desktop 84.6
group together 84.5
business 79.7
art 78.5
symbol 77.1
child 74.4
leader 74.1
text 73.9
young 73.8
teamwork 72.5

Imagga
created on 2019-06-01

silhouette 47.2
people 31.8
group 31.4
silhouettes 29.1
tracing 24.9
team 23.3
men 22.3
man 21
crowd 20.2
business 20.1
black 19.8
bass 19.7
male 19.2
dance 17.3
collection 17.1
gymnasium 16.8
art 15.6
boy 15.6
success 15.3
design 15.2
friends 15
shape 14.9
action 14.8
outline 14.2
sport 14
party 12.9
athletic facility 12.7
person 12.4
teamwork 12.1
body 12
grunge 11.9
graphic 11.7
facility 11.4
women 11.1
many 11.1
fitness 10.8
businessman 10.6
sign 10.5
style 10.4
symbol 10.1
family 9.8
human 9.8
jumping 9.7
drawing 9.5
walking 9.5
spectator 9.4
happy 9.4
3d 9.3
old 9.1
active 9
standing 8.7
disco 8.7
dancing 8.7
jump 8.6
health 8.3
training 8.3
fashion 8.3
exercise 8.2
suit 8.1
shadow 8.1
posing 8
adult 7.8
workers 7.8
youth 7.7
fun 7.5
manager 7.5
occupation 7.3
competition 7.3
backgrounds 7.3
icon 7.1
idea 7.1
worker 7.1
concepts 7.1
map 7.1
job 7.1
work 7.1

Google
created on 2019-06-01

Team 94.2
Crew 55.9

Microsoft
created on 2019-06-01

posing 91.5
person 85.5
group 83.1
old 71.8
clothing 66.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Male, 53.9%
Surprised 45.5%
Happy 45.7%
Disgusted 45.4%
Calm 46.6%
Sad 51%
Confused 45.3%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Calm 45.3%
Happy 45.1%
Angry 45.2%
Sad 54.1%

AWS Rekognition

Age 20-38
Gender Male, 53.9%
Angry 45.4%
Sad 46.1%
Surprised 45.4%
Happy 45.9%
Calm 51.8%
Disgusted 45.2%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 50.7%
Sad 46.2%
Angry 45.3%
Calm 52.2%
Confused 45.5%
Disgusted 45.2%
Happy 45.4%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51.6%
Confused 45.1%
Surprised 45.1%
Calm 45.1%
Sad 54.2%
Happy 45.4%
Disgusted 45.1%
Angry 45.1%

AWS Rekognition

Age 20-38
Gender Male, 54.8%
Angry 45.3%
Sad 47.6%
Happy 45.3%
Confused 45.3%
Surprised 45.2%
Calm 50.9%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Male, 51%
Sad 45.7%
Surprised 45.7%
Disgusted 45.6%
Angry 45.3%
Calm 48%
Happy 49.2%
Confused 45.4%

AWS Rekognition

Age 17-27
Gender Male, 55%
Happy 45.2%
Angry 45.3%
Surprised 45.2%
Disgusted 45.1%
Sad 46.4%
Calm 52.4%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Male, 54.4%
Disgusted 45.3%
Angry 45.8%
Confused 45.4%
Sad 50.1%
Happy 45.8%
Calm 47.2%
Surprised 45.4%

AWS Rekognition

Age 19-36
Gender Female, 53.4%
Disgusted 45.2%
Calm 49.3%
Angry 45.4%
Sad 48.4%
Surprised 45.5%
Happy 45.6%
Confused 45.5%

AWS Rekognition

Age 17-27
Gender Female, 53.8%
Angry 45.7%
Happy 46.5%
Confused 45.8%
Sad 48%
Calm 47.4%
Surprised 45.5%
Disgusted 46.1%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Happy 47.8%
Confused 45.4%
Disgusted 45.3%
Sad 48.7%
Calm 46.9%
Angry 45.4%
Surprised 45.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 45.6%
Happy 46.9%
Surprised 45.4%
Angry 45.4%
Disgusted 45.3%
Calm 49.4%
Sad 46.9%

AWS Rekognition

Age 20-38
Gender Female, 53.4%
Disgusted 45.2%
Happy 45.3%
Sad 51.7%
Calm 47.2%
Angry 45.2%
Surprised 45.2%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 55%
Angry 45.5%
Disgusted 45.6%
Confused 45.4%
Calm 48.9%
Sad 46.3%
Surprised 45.5%
Happy 47.8%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Confused 45.4%
Happy 46.3%
Calm 45.4%
Disgusted 45.2%
Sad 52.1%
Angry 45.3%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 53.6%
Happy 45.8%
Calm 49.6%
Angry 45.4%
Confused 45.6%
Surprised 45.5%
Sad 48%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 51%
Angry 45.4%
Happy 46%
Confused 45.4%
Calm 48.9%
Disgusted 45.4%
Sad 48.5%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Female, 51.2%
Angry 45.4%
Sad 47%
Disgusted 45.3%
Surprised 45.5%
Happy 47.2%
Calm 49.1%
Confused 45.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 46%
Disgusted 46.8%
Angry 46%
Calm 46.5%
Sad 48.9%
Confused 45.5%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.2%
Sad 46.1%
Happy 46.1%
Confused 45.4%
Surprised 45.4%
Angry 45.7%
Calm 51.1%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Angry 45.4%
Calm 46.3%
Sad 50.3%
Surprised 45.4%
Disgusted 46.2%
Happy 46%
Confused 45.4%

AWS Rekognition

Age 15-25
Gender Female, 53.6%
Happy 45.8%
Sad 49.9%
Surprised 45.3%
Confused 45.4%
Disgusted 45.3%
Calm 47.9%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Female, 53.8%
Happy 45.2%
Confused 45.4%
Angry 45.3%
Disgusted 45.1%
Surprised 45.3%
Sad 47.2%
Calm 51.6%

Feature analysis

Amazon

Person 97.2%
Guitar 67.5%

Categories

Imagga

paintings art 96.3%
text visuals 3.4%

Text analysis

Amazon

tl u