Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs. Public School No. 147 Manhanttan: New York City Public Schools: Examples of the Adaptation of Education to Special City Needs: Evening playcenter - Concert on Roof Playground. Public School. No. 147 Manhanttan.

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. Public School No. 147 Manhanttan: New York City Public Schools: Examples of the Adaptation of Education to Special City Needs: Evening playcenter - Concert on Roof Playground. Public School. No. 147 Manhanttan.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 100
Audience 100
Crowd 100
Person 98.4
Advertisement 98
Poster 98
Person 90.2
Speech 82.2
Person 82.1
Person 79.4
Person 79.1
Person 76.9
Text 75.9
Lecture 73.9
Person 66.5
Concert 63.9
People 63
Person 46.1

Clarifai

people 96.2
art 92.7
illustration 92.2
exhibition 90.6
no person 89.8
desktop 89.6
picture frame 89.5
retro 87.4
man 83.3
paper 83.1
painting 83
blank 82
adult 81.9
design 81.5
bill 81.1
group 80.2
many 79.8
old 79.6
vintage 78.9
business 77.9

Imagga

grunge 23.8
vintage 22.3
old 20.9
web site 20.6
art 17.9
structure 16.9
texture 16.7
pattern 16.4
black 16.2
antique 15.7
design 15.2
retro 14.7
border 14.5
night 14.2
sky 14
facility 13.6
paint 13.6
travel 13.4
grungy 13.3
architecture 13.3
digital 12.9
treasury 12.4
graphic 12.4
building 12.2
spectator 11.9
rough 11.8
aged 11.8
dirty 11.7
space 11.6
material 11.6
text 11.3
computer 11.2
landscape 11.1
decoration 11.1
frame 11.1
frames 10.7
edge 10.6
ancient 10.4
depository 10.4
memorial 10.1
brass 10.1
letter 10.1
city 10
designed 9.8
postage 9.8
mess 9.8
business 9.7
stamp 9.7
rust 9.6
urban 9.6
mail 9.6
dirt 9.5
damaged 9.5
weathered 9.5
water 9.3
silhouette 9.1
landmark 9
postmark 8.9
layered 8.8
office 8.8
postal 8.8
envelope 8.8
photographic 8.8
messy 8.7
layer 8.7
mask 8.6
skyline 8.5
people 8.4
screen 8.3
tourism 8.2
gymnasium 8.1
drawing 8.1
circa 7.9
noisy 7.9
scratches 7.9
noise 7.8
scratch 7.8
film 7.7
your 7.7
downtown 7.7
book jacket 7.7
famous 7.4
global 7.3
athletic facility 7.2
tourist 7.2
blackboard 7.2
history 7.1
male 7.1
paper 7
negative 7
modern 7

Google

Photograph 96.1
Text 85.2
Snapshot 82
Crowd 76.4
Adaptation 67
Room 65.7
Photography 62.4
Art 50.2

Microsoft

person 91.5
monitor 91.1
room 72.5
posing 68.5
sign 65.4
gallery 64.8
watching 41.3
picture frame 37

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Sad 45.4%
Disgusted 45.1%
Surprised 45.1%
Happy 53.6%
Confused 45.1%
Calm 45.1%
Angry 45.5%

AWS Rekognition

Age 45-65
Gender Female, 52.9%
Sad 48.8%
Disgusted 45.2%
Angry 46.1%
Surprised 45.5%
Calm 48.8%
Confused 45.5%
Happy 45.1%

AWS Rekognition

Age 14-25
Gender Female, 54%
Sad 54.6%
Disgusted 45.1%
Happy 45%
Surprised 45.1%
Angry 45.2%
Calm 45.1%
Confused 45%

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Disgusted 49.6%
Surprised 49.6%
Sad 49.6%
Angry 49.7%
Happy 49.6%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Calm 49.9%
Disgusted 49.7%
Happy 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50%
Surprised 49.6%
Happy 49.7%
Disgusted 49.6%
Calm 49.9%
Sad 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Male, 50.4%
Sad 49.8%
Disgusted 49.5%
Calm 49.6%
Confused 49.6%
Angry 49.9%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.8%
Sad 49.7%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.8%
Confused 49.6%

AWS Rekognition

Age 38-59
Gender Female, 50.5%
Sad 50.2%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 45-65
Gender Female, 52.5%
Calm 45%
Sad 54.6%
Angry 45.1%
Confused 45%
Happy 45.3%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Angry 45.5%
Sad 53.5%
Disgusted 45.1%
Happy 45.4%
Confused 45.1%
Calm 45.4%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Calm 50%
Surprised 49.6%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Sad 49.7%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.6%
Happy 49.6%
Calm 49.8%
Sad 49.6%
Disgusted 49.6%
Confused 49.6%
Angry 49.8%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Surprised 49.6%
Confused 49.7%
Happy 49.5%
Calm 49.6%
Disgusted 49.6%
Sad 50%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 50.2%
Disgusted 49.5%
Sad 49.7%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.5%
Calm 50.1%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.5%
Angry 49.6%
Calm 49.8%
Sad 50%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.6%
Sad 50%
Disgusted 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.6%
Surprised 49.5%
Calm 49.6%
Angry 49.6%
Confused 49.5%
Sad 50.2%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.7%
Sad 50.2%

AWS Rekognition

Age 6-13
Gender Male, 50.4%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Sad 50%
Angry 49.5%
Surprised 49.5%
Disgusted 50%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Confused 45.2%
Disgusted 45.3%
Sad 46.4%
Surprised 45.3%
Calm 51.8%
Angry 45.7%
Happy 45.2%

AWS Rekognition

Age 4-9
Gender Male, 54.7%
Disgusted 45.6%
Surprised 45.7%
Happy 49.9%
Calm 45.5%
Angry 45.8%
Confused 45.8%
Sad 46.8%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Calm 49.9%
Surprised 49.6%
Happy 49.6%
Disgusted 49.5%
Angry 49.7%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 4-7
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Calm 50.1%
Sad 49.6%
Confused 49.7%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.6%
Confused 49.6%
Surprised 49.5%
Sad 49.8%
Angry 49.6%
Calm 49.8%

AWS Rekognition

Age 14-23
Gender Male, 50.2%
Angry 49.6%
Happy 49.5%
Calm 50%
Confused 49.5%
Sad 49.7%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Male, 50%
Confused 49.6%
Disgusted 49.6%
Surprised 49.6%
Sad 49.7%
Angry 49.8%
Happy 49.6%
Calm 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.6%
Sad 50.3%
Surprised 49.5%
Angry 49.6%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.5%
Surprised 49.7%
Angry 49.6%
Calm 49.8%
Sad 49.7%
Disgusted 49.5%
Confused 49.8%

Feature analysis

Amazon

Person 98.4%
Poster 98%

Captions

Microsoft

a sign in front of a crowd 73.8%
a sign posing for the camera 64.1%
a black sign with white text on screen 42.3%

Text analysis

Amazon

York
Needs
the
City
of
Examples
Edueation
Public
Examples of the Adaptation of Edueation to Special City Needs
to
Now
Evening
Now York City Public Sehools
Adaptation
Special
Pubtie
Sehools
Ploycenter-
Playgreuns
Roaf
Evening Ploycenter- Coreert dm Roaf Playgreuns
Monhettam
Coreert
Pubtie ehasl NP/47 Monhettam
NP/47
6EE
ehasl
dm

Google

Now
York
City
Public
Examples
of
Evening
-
Concert
Now York City Public Sehools Examples of the Adaptation of Education to Special City Needs Evening Playcenter - Concert en Roof Piaygreuna Publie dehoai Ne/47 Manhatfan
Sehools
Adaptation
to
Roof
Piaygreuna
Publie
the
Special
Needs
Education
Playcenter
en
dehoai
Ne/47
Manhatfan