Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. 66th Street & Avenue A Vacation Playground: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Playground (Open Air.) 66th Street & Ave. A, Manhattan.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Recreation, Parks and Playgrounds: United States. New York. New York City. 66th Street & Avenue A Vacation Playground: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation Playground (Open Air.) 66th Street & Ave. A, Manhattan.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 93.4
Human 93.4
Text 78.5
Crowd 76.3
Tent 76.2
Person 74.9
Person 71.6
Person 71.3
Theme Park 69.1
Amusement Park 69.1
People 68.4
Person 65.2
Outdoors 64.9
Person 62.9
Paper 58.7

Clarifai

people 97.5
art 91.6
travel 91.6
group 91.3
no person 90.6
many 89.9
paper 89.8
desktop 89.7
retro 89.3
print 89.1
illustration 85.8
old 85.8
landscape 85.1
man 85
vintage 84.4
adult 83.6
water 82.9
war 80.6
crowd 79
vacation 78.2

Imagga

newspaper 64.2
product 49.8
creation 38.9
old 27.2
vintage 26.5
grunge 25.5
treasury 19.8
retro 18.8
antique 17.3
snow 16.3
aged 16.3
depository 15.9
art 15.2
daily 14.5
drawing 14.1
history 13.4
sky 13.4
structure 13.3
facility 13.3
landscape 12.6
black 12.6
texture 12.5
frame 12.5
city 12.5
building 12.4
ancient 12.1
paper 11.8
architecture 11.7
web site 11.6
beach 11.3
graphic 10.9
grungy 10.4
letter 10.1
space 10.1
travel 9.9
postmark 9.8
envelope 9.7
stamp 9.7
style 9.6
mail 9.6
design 9.6
winter 9.4
house 9.2
silhouette 9.1
paint 9.1
postage 8.8
postal 8.8
artistic 8.7
scene 8.7
old fashioned 8.6
culture 8.5
tree 8.5
wallpaper 8.4
summer 8.4
grain 8.3
street 8.3
pattern 8.2
rough 8.2
vacation 8.2
border 8.1
dirty 8.1
weather 8.1
sand 8.1
circa 7.9
urban 7.9
forest 7.8
color 7.8
card 7.7
blank 7.7
billboard 7.4
tourism 7.4
brown 7.4
landmark 7.2
scenery 7.2
male 7.1

Google

Microsoft

person 92.5
scene 80.5
gallery 76.8
room 71.2
picture frame 8.6

Face analysis

Amazon

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%
Calm 49.8%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.5%
Confused 49.5%
Happy 49.6%
Disgusted 49.6%
Sad 49.8%
Angry 49.9%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Angry 49.8%
Disgusted 49.5%
Surprised 49.5%
Calm 49.8%
Sad 49.8%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.2%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.4%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Surprised 49.5%
Happy 49.6%
Confused 49.6%
Calm 49.6%
Disgusted 49.5%
Angry 49.6%
Sad 50.1%

AWS Rekognition

Age 26-44
Gender Female, 50%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.9%
Confused 49.5%
Calm 49.8%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 49.5%
Sad 50.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 17-27
Gender Male, 50%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Sad 50.4%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Sad 50.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.5%
Angry 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Calm 50.1%
Surprised 49.5%
Happy 49.7%
Disgusted 49.5%
Angry 49.5%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.6%
Calm 49.7%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Calm 49.7%
Surprised 49.5%
Happy 49.6%
Disgusted 49.5%
Angry 49.6%
Sad 50%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.5%
Sad 50%
Angry 49.7%
Happy 49.7%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Confused 49.5%
Sad 50.1%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Disgusted 49.7%
Confused 49.5%
Happy 49.9%
Calm 49.6%
Surprised 49.5%
Sad 49.7%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Surprised 49.5%
Disgusted 49.6%
Angry 49.6%
Sad 50.2%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.7%
Angry 49.6%
Sad 50%

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Confused 49.5%
Sad 49.9%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.5%
Sad 49.5%
Disgusted 49.8%
Angry 49.6%
Happy 49.5%
Calm 49.9%
Surprised 49.6%

Feature analysis

Amazon

Person 93.4%
Tent 76.2%

Captions

Microsoft

a group of people in front of a sign 31%
a group of people standing in front of a sign 30.3%
a group of people posing for a photo 27.5%

Text analysis

Amazon

Examples
Needs
Special
Public
Sehools
of
City
Examples of the Adaptation of Edueation to Special City Needs
the
Adaptation
to
Edueation
New York City Public Sehools
New
Ployground
treet
York
cits
OpenA
Vocotio
401.73.610
660
Vocotio Ployground OpenA Ar)
660 treet -Ave Monhattan
Monhattan
-Ave
Ar)

Google

City
66t
of
Streetve
Monhattan
New
to
Needs
Public
Examples
the
A.
Va
New York City Public Schools Examples of the Adaptation of Education to Special City Needs Open Air) 66t Streetve A. Monhattan Va
York
Schools
Adaptation
Education
Special
Open
Air)