Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Christodora House": Christodora House, New York City.: Fife and Drum Corps.
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, 3.2002.3155.5

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Christodora House": Christodora House, New York City.: Fife and Drum Corps.

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, 3.2002.3155.5

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.6
Human 99.6
Person 99.6
Person 99.4
Person 99.3
Person 99.2
Person 98.7
Person 98.6
Person 98.6
Person 98.4
Person 98.4
Person 98.4
Person 97.8
Person 97.5
Person 96.9
Person 95.5
Person 95.5
Person 94.1
Person 93.5
Person 88.9
Text 84.6
Person 83.5
People 83
Military 82.3
Face 81.2
Person 79.3
Military Uniform 76.9
Person 66.1
Sailor Suit 60.8
Officer 57.7
Leisure Activities 57.6
Musical Instrument 56.4

Clarifai
created on 2019-06-06

people 99.9
group 99.6
many 99.1
group together 98.1
leader 97.4
adult 97.1
administration 96.8
several 96.2
military 95.6
man 95.2
vehicle 90.5
soldier 88.5
war 87.9
chair 82.8
wear 82.3
woman 80.9
five 79.1
golfer 77.3
crowd 77.2
recreation 76.3

Imagga
created on 2019-06-06

sketch 76.2
drawing 56.7
representation 47.8
stone 37
architecture 29.9
ancient 29.4
sculpture 29
memorial 26.5
old 26.5
gravestone 26.1
history 25.1
money 23
currency 22.5
monument 22.4
ruler 21.7
travel 21.1
cash 21.1
statue 21
landmark 20.8
art 20.4
dollar 19.5
building 18.2
tourism 18.2
paper 18
culture 18
bank 17.9
temple 17.2
famous 16.8
vintage 16.6
historic 16.5
bill 16.2
finance 16.1
religion 15.2
column 14.6
wealth 14.4
structure 14
cemetery 13.9
banking 13.8
marble 13.7
historical 13.2
dollars 12.6
financial 12.5
savings 12.1
rich 12.1
postmark 11.8
stamp 11.6
us 11.6
business 11.5
pay 11.5
mail 11.5
letter 11
facade 10.8
symbol 10.8
carving 10.8
loan 10.6
exchange 10.5
church 10.2
city 10
arch 9.8
postage 9.8
postal 9.8
close 9.7
antique 9.5
note 9.2
decoration 9.1
tourist 9.1
aged 9.1
retro 9
franklin 8.9
bills 8.7
hundred 8.7
heritage 8.7
capital 8.5
economy 8.3
one 8.2
tower 8.1
envelope 8
roman 7.9
1967 7.9
philately 7.9
circa 7.9
god 7.7
sky 7.7
sign 7.5
commerce 7.5
closeup 7.4
investment 7.3

Google
created on 2019-06-06

People 94.5
Team 70.5
History 57.6

Microsoft
created on 2019-06-06

person 99.4
outdoor 99.1
old 98.9
posing 97.9
military uniform 97.7
handwriting 96.5
clothing 95.9
black 85
man 83.5
group 79.8
white 79.1
player 78.5
team 65.6
smile 56.4
photograph 50
vintage 39.9
clothes 38.9
crowd 1.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Female, 51.7%
Calm 46%
Disgusted 46.3%
Angry 45.6%
Happy 48.9%
Sad 47.2%
Surprised 45.4%
Confused 45.6%

AWS Rekognition

Age 29-45
Gender Male, 54.3%
Surprised 45.7%
Happy 48.8%
Confused 45.2%
Calm 48%
Disgusted 45.5%
Angry 46.2%
Sad 45.7%

AWS Rekognition

Age 20-38
Gender Male, 54.6%
Disgusted 48.4%
Happy 45.3%
Angry 46.1%
Calm 48%
Surprised 45.6%
Confused 46.1%
Sad 45.4%

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Happy 54.9%
Angry 45%
Calm 45.1%
Sad 45%
Surprised 45%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Sad 45.5%
Disgusted 50.8%
Surprised 45.2%
Happy 45.2%
Confused 45.3%
Calm 47%
Angry 45.9%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Surprised 45%
Sad 53.6%
Disgusted 45.4%
Calm 45.3%
Happy 45.2%
Angry 45.1%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Calm 54.2%
Surprised 45%
Happy 45.2%
Angry 45.1%
Confused 45%
Sad 45.2%
Disgusted 45.2%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Disgusted 45.1%
Confused 45.2%
Happy 52.8%
Sad 45.2%
Surprised 45.3%
Calm 45.4%
Angry 46%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Calm 53.3%
Happy 45.1%
Sad 45.6%
Angry 45.5%
Confused 45.2%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Happy 45.6%
Calm 50.6%
Sad 46.5%
Surprised 45.4%
Angry 45.7%
Confused 45.3%
Disgusted 45.9%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Angry 46.7%
Surprised 45.2%
Calm 48.5%
Happy 46%
Confused 45.2%
Disgusted 46.3%
Sad 47.1%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Sad 45.4%
Angry 45.5%
Happy 45.3%
Disgusted 48.3%
Calm 50.1%
Surprised 45.3%
Confused 45.3%

AWS Rekognition

Age 20-38
Gender Male, 53.4%
Calm 53%
Angry 45.3%
Happy 45.3%
Sad 45.4%
Surprised 45.3%
Confused 45.1%
Disgusted 45.5%

AWS Rekognition

Age 20-38
Gender Male, 51.1%
Angry 45.3%
Calm 53.7%
Surprised 45.2%
Sad 45.3%
Disgusted 45.3%
Happy 45.1%
Confused 45.1%

AWS Rekognition

Age 38-59
Gender Female, 52.9%
Calm 45.2%
Sad 45.4%
Angry 45.1%
Surprised 45.1%
Disgusted 45.1%
Confused 45.1%
Happy 54.1%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Happy 49.5%
Sad 50.4%
Disgusted 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.5%
Angry 45.1%
Happy 46.2%
Disgusted 45%
Confused 45.1%
Calm 45.2%
Surprised 45.1%
Sad 53.3%

AWS Rekognition

Age 30-47
Gender Male, 54.9%
Confused 45.3%
Surprised 45.3%
Angry 45.4%
Happy 46%
Sad 46.3%
Calm 51.4%
Disgusted 45.3%

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Angry 45.3%
Surprised 45.3%
Sad 46.9%
Confused 45.1%
Calm 47.9%
Disgusted 45.1%
Happy 49.4%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 46%
Surprised 45.7%
Confused 45.4%
Angry 46.2%
Happy 45.5%
Calm 46.6%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Calm 47.8%
Confused 45.2%
Happy 50.6%
Surprised 45.2%
Angry 45.2%
Disgusted 45.2%
Sad 45.7%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Calm 49.5%
Sad 49.8%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.9%

AWS Rekognition

Age 30-47
Gender Female, 52.8%
Calm 47.4%
Happy 46%
Confused 45.2%
Sad 50.2%
Angry 45.4%
Surprised 45.2%
Disgusted 45.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.6%
Sad 49.6%
Surprised 49.6%
Angry 49.7%
Happy 49.5%
Confused 49.5%
Disgusted 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 50.1%
Confused 49.6%
Happy 49.5%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Disgusted 49.6%
Surprised 49.5%
Sad 49.7%
Angry 49.5%
Happy 50.1%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 19-36
Gender Female, 52.4%
Confused 45.3%
Disgusted 45.1%
Sad 52.9%
Angry 45.5%
Surprised 45.2%
Happy 45.3%
Calm 45.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.5%
Calm 49.5%
Sad 50.3%
Surprised 49.5%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 53.9%
Calm 48.9%
Sad 48.4%
Surprised 45.5%
Angry 45.5%
Happy 45.9%
Confused 45.4%
Disgusted 45.4%

Feature analysis

Amazon

Person 99.6%

Categories

Imagga

streetview architecture 90.3%
paintings art 9.2%

Text analysis

Amazon

Corps.
GHELSEA
FIfE ond Drum Corps.
ond
Drum
SV4
FIfE

Google

CHELSE Fite Corps.
CHELSE
Fite
Corps.