Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. Public School No. 27: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Playgrounds. (Indoor.) Public School No. 27 Bronx.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. Public School No. 27: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Playgrounds. (Indoor.) Public School No. 27 Bronx.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.3
Person 99.3
Person 96.9
People 92.2
Person 89.3
Interior Design 88.5
Indoors 88.5
Room 86.2
Person 84.5
Person 81.3
Person 76.5
Team 75.3
Sports 75.3
Team Sport 75.3
Sport 75.3
Crowd 69
Food 57.9
Meal 57.9
Paper 57.7
Table 56.9
Furniture 56.9
Building 56.5
House 56.5
Housing 56.5
Villa 56.5

Clarifai

people 98.2
group 93.6
adult 93.5
man 93.5
indoors 93.3
many 92.1
exhibition 91.7
room 91.4
furniture 88.5
painting 86.7
print 85.3
business 84.5
wear 84.3
military 83.2
one 82.6
art 82.4
no person 82.3
home 81.9
museum 81.8
woman 81.1

Imagga

interior 31.8
house 30.1
sketch 26.1
drawing 25.7
architecture 25.2
home 24.7
modern 23.1
design 21.9
construction 18.8
room 18.1
floor 17.7
window 16.7
structure 16.4
wall 15.7
building 14.3
light 14
urban 14
city 13.3
plan 13.2
furniture 13.2
space 13.2
inside 12.9
grunge 12.8
frame 12.7
decoration 12.5
representation 12.4
lifestyle 11.6
case 11.2
power 10.9
residential 10.5
new 10.5
old 10.4
industry 10.2
office 10.2
silhouette 9.9
retro 9.8
blueprint 9.8
business 9.7
architect 9.6
black 9.6
project 9.6
equipment 9.5
elegant 9.4
indoor 9.1
style 8.9
art 8.8
decor 8.8
steel 8.8
glass 8.8
residence 8.7
development 8.7
architectural 8.6
empty 8.6
luxury 8.6
table 8.5
estate 8.5
living 8.5
build 8.5
sky 8.3
balcony 8.2
door 8.1
life 7.9
scene 7.8
3d 7.7
designer 7.7
engineering 7.6
vintage 7.4
facade 7.4
water 7.3
machine 7.3
lines 7.2
facility 7.1

Google

Photograph 95.8
Text 91.2
Snapshot 85.4
Room 76.5
Photography 62.4
History 54.1

Microsoft

person 93

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.6%
Happy 49.5%
Angry 49.8%
Sad 49.9%
Calm 49.6%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 4-7
Gender Female, 50.3%
Confused 49.5%
Surprised 49.6%
Calm 49.8%
Angry 49.6%
Disgusted 49.8%
Happy 49.6%
Sad 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.1%
Sad 50%
Surprised 49.5%
Disgusted 49.5%
Calm 49.8%
Happy 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 50%
Happy 49.7%
Confused 49.5%
Sad 49.5%
Angry 49.6%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Happy 49.7%
Surprised 49.5%
Calm 49.9%
Confused 49.5%
Disgusted 49.8%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 50.1%
Confused 49.5%
Disgusted 49.6%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Confused 49.6%
Calm 49.6%
Angry 49.7%
Sad 49.6%
Happy 49.8%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Happy 49.5%
Sad 50.1%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Sad 49.8%
Surprised 49.6%
Calm 49.6%
Happy 49.6%
Disgusted 49.6%
Confused 49.6%
Angry 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%
Surprised 49.5%
Sad 50.1%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.6%
Confused 49.7%
Angry 49.5%
Sad 49.7%
Surprised 49.6%
Happy 49.7%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 49.6%
Surprised 49.5%
Disgusted 50.3%
Calm 49.5%
Happy 49.5%
Confused 49.6%
Angry 49.5%

Feature analysis

Amazon

Person 99.3%

Captions

Microsoft

a group of people standing in front of a crowd 59.3%
a group of people standing outside of a building 59.2%
a group of people standing in a room 59.1%

Text analysis

Amazon

Examples
Publi
York
City
Adaptation
the
Special
of
to
Examples of the Adaptation of Edneation to Special City Needs
New York City Publi Schools
N27
Edneation
Schools
Vocation
grounds.
New
Needs
Vocation Play grounds. lndood)
Publie School N27 Bronx.
Bronx.
C17
lndood)
Publie
Play
School
2$2

Google

City
of
Special
Vocation
School
Ne27
New York City Public Schools Examples of the Adaptation of Edueation to Special City Needs CI7 P.S orsx Vocation Play grounds. (Indoor) Publie School Ne27 Bronx
York
Edueation
Needs
P.S
Play
Bronx
New
Schools
the
Adaptation
to
Publie
Public
orsx
grounds.
(Indoor)
Examples
CI7