Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. Brooklyn. P.S. 45: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs.
Date

August 25, 1902
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, 3.2002.347

Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. Brooklyn. P.S. 45: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs.

People

Artist: Unidentified Artist,

Date

August 25, 1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.347

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.8
Human 99.8
Person 99.7
Person 99.6
Person 99.6
Person 99.6
Person 99.6
Person 99.5
Person 98.8
Person 98.4
Person 98.3
Person 97.3
Person 96.8
Person 96.7
Text 95.8
Person 90.9
Person 90.7
Person 85.3
Person 74.8
People 67.1
Person 61.6
Advertisement 59.4
Poster 59.1
Paper 57.1

Clarifai
created on 2019-06-05

people 99.9
group 99.7
print 99.5
adult 99.3
many 98.7
man 98.2
illustration 97.9
lithograph 96.2
several 95.8
wear 94.6
military 94
painting 93.9
art 93.6
text 93.6
woman 93.2
war 92.3
one 91.8
bill 91
group together 90.6
vehicle 90.2

Imagga
created on 2019-06-05

newspaper 51.4
daily 41.6
paper 37.6
product 36.9
drawing 31.9
vintage 31.4
sketch 31.3
old 30.7
creation 28.9
retro 24.6
grunge 23.9
design 20.8
money 20.4
book jacket 20.4
business 18.8
antique 18.3
envelope 16.6
aged 16.3
jacket 15.9
ancient 15.6
texture 15.3
finance 15.2
representation 15.1
document 14.9
note 14.7
letter 14.7
bill 14.3
dollar 13.9
art 13.9
plan 13.2
card 12.9
office 12.9
cash 12.8
stamp 12.6
currency 12.6
bank 12.5
frame 12.5
wrapping 12.1
construction 12
postmark 11.8
dirty 11.8
history 11.6
mail 11.5
text 11.4
structure 10.9
postage 10.8
textured 10.5
print 10.4
pattern 10.3
graphic 10.2
border 10
wealth 9.9
philately 9.9
financial 9.8
exchange 9.5
empty 9.5
closeup 9.4
blank 9.4
architecture 9.4
page 9.3
banking 9.2
close 9.1
market 8.9
architect 8.7
dollars 8.7
us 8.7
pay 8.6
damaged 8.6
old fashioned 8.6
wallpaper 8.4
black 8.4
covering 8.3
silhouette 8.3
message 8.2
symbol 8.1
circa 7.9
postal 7.9
book 7.8
space 7.8
ink 7.7
project 7.7
post 7.6
engineering 7.6
pencil 7.6
comic book 7.6
grungy 7.6
sign 7.5
commerce 7.5
rich 7.4
building 7.4
map 7.4
style 7.4
rough 7.3
color 7.2
container 7

Google
created on 2019-06-05

Photograph 96.1
Text 92.2
Snapshot 85.8
Room 71.4
Collection 71.3
Adaptation 67
History 62.6
Art 62.5
Photography 62.4
Illustration 50.4
Paper product 50.3

Microsoft
created on 2019-06-05

handwriting 94.4
person 92.8
clothing 77.6
book 65.7
different 51.7
old 47.2
several 17.9
sale 13.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Surprised 49.5%
Angry 49.8%
Sad 50.1%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Surprised 49.5%
Happy 49.7%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 50%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 50%
Disgusted 49.6%
Confused 49.5%
Angry 49.7%
Happy 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.1%
Surprised 49.5%
Sad 49.8%
Angry 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Disgusted 49.5%
Angry 49.5%
Sad 49.6%
Surprised 49.5%
Happy 50.2%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.4%
Happy 49.6%
Disgusted 49.5%
Confused 49.6%
Surprised 49.5%
Sad 49.9%
Angry 49.6%
Calm 49.9%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Surprised 49.5%
Confused 49.5%
Sad 50.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.2%
Sad 49.7%
Surprised 49.6%
Confused 49.5%
Disgusted 49.7%
Happy 49.5%
Calm 49.7%
Angry 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.7%
Disgusted 49.5%
Sad 49.7%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.9%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Disgusted 49.5%
Sad 50%
Surprised 49.5%
Calm 49.7%
Happy 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.2%
Disgusted 49.5%
Calm 49.5%
Angry 49.6%
Sad 50.3%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Calm 49.7%
Sad 49.7%
Disgusted 49.9%
Happy 49.7%
Surprised 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50%
Calm 49.7%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Sad 50.2%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Happy 50.1%
Sad 49.9%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Surprised 49.5%
Happy 49.8%
Confused 49.5%
Sad 50.1%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Sad 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.7%
Angry 50.2%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.4%
Sad 50.1%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.8%
Angry 49.5%
Sad 50%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.2%
Sad 50%
Surprised 49.5%
Disgusted 49.5%
Calm 49.6%
Happy 49.7%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Disgusted 49.9%
Calm 49.6%
Confused 49.5%
Surprised 49.5%
Happy 49.7%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Surprised 49.5%
Confused 49.5%
Sad 50.1%
Calm 49.5%
Happy 49.6%
Disgusted 49.5%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 50%
Disgusted 49.5%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Surprised 49.5%
Confused 49.5%
Happy 49.7%
Angry 49.7%
Calm 49.5%
Sad 50%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Happy 49.6%
Calm 49.5%
Sad 50.1%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.4%
Calm 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Sad 50.2%
Happy 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Surprised 49.5%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%
Calm 49.5%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Disgusted 49.7%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Sad 49.9%
Happy 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Happy 49.6%
Calm 49.6%
Confused 49.6%
Angry 49.7%
Disgusted 49.6%
Sad 49.9%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.8%
Happy 49.5%
Surprised 49.6%
Calm 49.7%
Confused 49.5%
Sad 49.7%
Disgusted 49.7%

AWS Rekognition

Age 4-9
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.5%
Angry 49.7%
Surprised 49.5%
Calm 49.6%
Sad 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.6%
Disgusted 49.6%
Angry 49.6%
Surprised 49.7%
Calm 49.9%
Confused 49.6%
Happy 49.6%

Feature analysis

Amazon

Person 99.8%

Categories

Imagga

text visuals 55.4%
paintings art 38.4%
streetview architecture 5%

Text analysis

Amazon

Examples
Needs
of
Adaptation
Special
City
the
York
Examples of the Adaptation of Edneation to Special City Needs
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Sleco
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Srd
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Med

Google

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