Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School #44 Manhattan. Roof Playground.: 5A. Boys.
Date

May 11, 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, 3.2002.292.2

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School #44 Manhattan. Roof Playground.: 5A. Boys.

People

Artist: Unidentified Artist,

Date

May 11, 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.292.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Building 99.8
Hangar 99.8
Person 99.6
Human 99.6
Person 99.2
Person 99.1
Person 98.9
Person 98.9
Person 98.8
Person 98.8
Person 98
Person 96.8
Person 96.5
Person 95.7
Person 94.2
Person 90.5
People 60.1
Person 48.9

Clarifai
created on 2019-06-04

people 99.9
many 99.7
group together 98.9
group 98.4
military 95.5
adult 95.5
man 95.4
crowd 94.3
vehicle 92.1
transportation system 91.4
war 87.7
woman 82.8
wear 82.7
administration 79.4
railway 78
soldier 77.5
recreation 77.3
uniform 76.9
aircraft 75.4
several 71.1

Imagga
created on 2019-06-04

net 31.1
volleyball net 29.4
sport 28.5
city 24.1
game equipment 20.4
urban 20.1
travel 19.7
architecture 19.5
facility 18.5
building 17.4
people 17.3
business 15.8
transportation 15.2
station 15.2
man 14.8
construction 14.5
men 13.7
gymnasium 13.6
equipment 13.5
old 13.2
male 12.8
athletic facility 12.7
transport 11.9
crowd 11.5
sky 11.5
structure 11.4
wall 11.1
competition 11
active 10.9
tourist 10.9
train 10.7
motion 10.3
support 10.3
athlete 10.2
industrial 10
new 9.7
success 9.6
design 9.6
boy 9.6
batting cage 9.5
day 9.4
industry 9.4
house 9.2
sketch 9.2
speed 9.1
speedway 9
history 8.9
game 8.9
ball 8.9
subway 8.9
baseball equipment 8.8
scene 8.6
work 8.6
hall 8.6
plan 8.5
drawing 8.5
town 8.3
action 8.3
leisure 8.3
street 8.3
racetrack 8.2
exercise 8.2
group 8.1
lifestyle 7.9
businessman 7.9
afghan hound 7.9
trainer 7.9
black 7.8
player 7.6
sports equipment 7.6
walking 7.6
center 7.6
journey 7.5
silhouette 7.4
tourism 7.4
line 7.3
office 7.2
team 7.2
paper 7
modern 7

Google
created on 2019-06-04

Building 62.3
Art 50.2

Microsoft
created on 2019-06-04

ground 97.2
person 94.7
outdoor 92
clothing 68
people 64.1
several 11.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.6%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Disgusted 49.9%
Happy 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.5%
Happy 49.8%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 50.2%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Male, 50.2%
Disgusted 49.6%
Sad 49.8%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Sad 50.2%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50%
Disgusted 49.6%
Calm 49.5%
Happy 49.6%
Angry 49.5%
Sad 50.2%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.8%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Sad 49.8%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Confused 49.5%
Angry 49.6%
Calm 49.7%
Disgusted 49.8%
Sad 49.7%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.6%
Surprised 49.6%
Calm 49.5%
Confused 49.5%
Disgusted 49.7%
Angry 49.8%
Sad 49.7%

Feature analysis

Amazon

Person 99.6%

Categories

Imagga

streetview architecture 99.2%

Text analysis

Amazon

MAY
MAY 171902 5153
5153
ROOE-PLAYGROUND.
coS
5A.
171902
P.544MANHATTAN
5A. BOYS.
BOYS.

Google

e1os WW VAX e.S49MANHATTAN RooF-PLAYGROUND. 5A. BOYS. S153 MAY 111003
WW
VAX
S153
111003
e1os
e.S49MANHATTAN
RooF-PLAYGROUND.
5A.
BOYS.
MAY