Human Generated Data

Title

Miscellaneous [Social Settlements: Canada. Montreal. University Settlement]?
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3350.2

Human Generated Data

Title

Miscellaneous [Social Settlements: Canada. Montreal. University Settlement]?

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.3350.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Tie 99.7
Accessories 99.7
Accessory 99.7
Human 99.7
Person 99.7
Musician 99.3
Musical Instrument 99.3
Person 99.1
Person 98.9
Person 98.7
Person 98
Person 97.3
Tie 95.6
Person 95.5
Person 95.1
Tie 95
Tie 94.7
Person 94
Person 93.8
Tie 93.8
Person 92.7
Person 92.6
Person 90.3
Person 90.1
Person 89.6
Percussion 88.6
Drummer 88.6
Tie 84.7
Tie 84.4
Person 84.1
People 82.7
Person 82
Drum 77.9
Person 76.7
Person 73.1
Person 68.1
Person 62.9
Military Uniform 62.4
Military 62.4
Music Band 61.5
Person 61.2
Person 49.8

Clarifai
created on 2019-06-05

people 100
group 99.4
group together 99.3
many 99.1
adult 97.8
administration 96.2
uniform 94.7
military 94.1
wear 93.7
child 93.6
man 93.2
war 91.8
several 91.4
outfit 88.5
drum 88
boy 87.3
soldier 87.2
school 85.1
leader 84.8
woman 82.4

Imagga
created on 2019-06-05

musical instrument 88.8
banjo 78.9
drum 63
stringed instrument 61.4
percussion instrument 53.2
old 14.6
sport 9.2
attractive 8.4
people 8.4
hat 7.8
adult 7.7
wall 7.7
industry 7.7
vintage 7.4
clothing 7.4
business 7.3
helmet 7.3
black 7.2
market 7.1
ball 7.1

Google
created on 2019-06-05

Team 72.7
Marching percussion 61.4
Musical instrument 53.4

Microsoft
created on 2019-06-05

person 99.6
group 98
posing 95.8
clothing 88.2
old 85.1
drum 65.5
man 65.4
people 58.5
team 25.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 14-25
Gender Female, 55%
Disgusted 47.4%
Happy 45.4%
Surprised 47.8%
Angry 45.8%
Confused 45.2%
Calm 47.2%
Sad 46.2%

Feature analysis

Amazon

Tie
Person
Tie 99.7%

Text analysis

Amazon

ML
XI