Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 Manhattan.
Date

c. 1900
People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 Manhattan.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 96.6
Person 96.6
Text 93.1
Person 91.8
Person 87.5
Person 84.4
Person 83.4
Person 77.7
Crowd 76.9
Advertisement 75.7
Poster 75.7
Shop 70.8
Furniture 65.2
Chair 65.2
Workshop 62.4
Person 54.3
Person 46.5

Clarifai

illustration 99.2
people 98.8
art 98.4
print 97.9
painting 94.8
man 94.6
group 94.2
no person 94
landscape 92.4
picture frame 92.3
house 91.9
adult 90.5
tree 89.7
museum 89.6
nature 87.1
architecture 86.9
building 86.2
water 85.9
window 85.8
city 85.6

Imagga

web site 54.6
sketch 51.4
drawing 49.7
daily 35.8
grunge 34.1
representation 31.3
old 21.6
vintage 21.5
design 19.7
retro 18.8
art 17.6
antique 17.3
newspaper 16.9
texture 16.7
frame 16.6
structure 15
dirty 14.5
paper 14.1
graphic 13.9
black 13.8
paint 13.6
pattern 13
product 13
business 12.8
silhouette 12.4
old fashioned 12.4
grungy 12.3
scene 12.1
decoration 11.9
rough 11.8
border 11.8
space 11.6
building 11.2
creation 11.2
style 11.1
architecture 10.9
sky 10.8
symbol 10.8
landscape 10.4
ancient 10.4
grain 10.1
finance 10.1
house 10
city 10
aged 9.9
history 9.8
text 9.6
construction 9.4
billboard 8.9
urban 8.7
ink 8.7
snow 8.6
empty 8.6
bill 8.6
money 8.5
dollar 8.4
element 8.3
cash 8.2
backgrounds 8.1
currency 8.1
bank 8.1
material 8
noise 7.8
scratch 7.8
color 7.8
messy 7.7
wall 7.7
edge 7.7
wallpaper 7.7
dirt 7.6
damaged 7.6
poster 7.6
sign 7.5
street 7.4
transport 7.3
negative 7.3
signboard 7.2
holiday 7.2
trees 7.1
film 7.1
travel 7
modern 7

Google

Photograph 97.1
Text 91.9
Snapshot 88.1
Room 79.1
Photography 72.5
History 69.9
Adaptation 67
Stock photography 62.1
Paper product 57.7
Collection 57.1
Paper 57
Art 50.2

Microsoft

person 93.8
scene 84.2
room 74.7
gallery 67.2

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.7%
Calm 49.6%
Sad 49.9%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Angry 49.7%
Happy 49.5%
Surprised 49.6%
Disgusted 49.6%
Sad 49.9%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.6%
Angry 49.7%
Sad 49.7%
Confused 49.5%
Surprised 49.6%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.6%
Sad 49.8%
Disgusted 49.6%
Angry 49.7%
Surprised 49.6%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.9%
Sad 49.5%
Calm 49.9%
Confused 49.5%
Happy 49.5%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.7%
Surprised 49.5%
Confused 49.6%
Sad 49.9%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.2%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Calm 49.7%
Happy 49.7%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Surprised 49.6%
Confused 49.5%
Happy 49.5%
Calm 50.2%
Disgusted 49.5%
Sad 49.6%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.5%
Angry 49.5%
Sad 50.1%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Angry 49.8%
Calm 49.6%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Calm 49.7%
Happy 49.6%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Happy 49.6%
Angry 49.9%
Calm 49.6%
Sad 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Confused 49.5%
Sad 49.5%
Happy 49.6%
Surprised 49.6%
Disgusted 49.7%
Calm 50.1%
Angry 49.5%

AWS Rekognition

Age 45-65
Gender Female, 50.2%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 50%
Happy 49.5%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Disgusted 50.1%
Confused 49.5%
Sad 49.7%
Angry 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Calm 49.8%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Sad 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Angry 49.6%
Disgusted 49.5%
Calm 49.7%
Happy 49.9%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50%
Happy 49.6%
Angry 49.7%
Calm 49.6%
Confused 49.6%
Disgusted 49.6%
Surprised 49.6%
Sad 50%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Disgusted 49.5%
Sad 49.6%
Calm 50.1%
Confused 49.6%
Happy 49.5%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Happy 49.5%
Sad 49.7%
Angry 49.8%
Surprised 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.6%

Feature analysis

Amazon

Person 96.6%
Poster 75.7%

Captions

Microsoft

a screen shot of a social media post 68.6%
a screen shot of a photo 52.8%
a screen shot of a social media post with text and graphics on them 46.3%

Text analysis

Amazon

York
City
the
New
Publie
Examples
Adaptation
School
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New York City Publie School
Examples of' the Adaptation of' Eduention to Speeial City Needa
Scheol
Needa
Eduention
Serving
of'
Serwing Househeeping Serving
Serwing
Househeeping
Puiehe Scheol NP37 Mohotton
Puiehe
NP37 Mohotton
114T.S

Google

New
Examples
Needs
Housekeeeing-Serving
New York City Publie Schools Examples of the Adaptation of Edueation to Special City Needs Snhaw Housekeeeing-Serving Housekeepina Serving Public Scheo/ Nea7 Monhotton
of
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Serving
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Schools
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City
the
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