Human Generated Data

Title

Education, Popular Culture: 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: Brooklyn Public School: Noon Games
Date

c. 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, 3.2002.1498.2

Human Generated Data

Title

Education, Popular Culture: 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: Brooklyn Public School: Noon Games

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1498.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 99.8
Person 99.8
Person 99.7
Person 99.7
Person 99.5
Person 99.5
Person 99.5
Person 99.2
Pedestrian 98.4
Person 98.3
Person 98
Person 97.4
Nature 93.6
Outdoors 91.7
Person 91.1
People 78.8
Crowd 77
Person 72
Snow 63.2
Urban 61.6
Apparel 61.4
Clothing 61.4
Tree 60.1
Plant 60.1
Building 59.7
Town 59.7
Road 59.7
Street 59.7
City 59.7
Winter 57.3

Clarifai
created on 2019-06-04

people 99.9
many 99.9
group 99.8
group together 98.6
home 97.2
administration 97.1
adult 96.7
man 96.1
war 94.8
crowd 93.4
military 92.4
street 90.5
child 90.4
several 90.4
police 90.2
education 87.4
offense 87.2
vehicle 87.2
woman 87.1
soldier 86.8

Imagga
created on 2019-06-04

cemetery 52.4
pedestrian 25.8
people 19.5
man 19.5
walking 16.1
male 15.6
old 14.6
travel 14.1
tourism 14
stone 13.6
person 13.5
architecture 13.5
tree 13.3
building 13.2
military 12.6
city 12.5
structure 12.1
danger 11.8
soldier 11.7
history 11.6
outdoor 11.5
walk 11.4
statue 11.3
landscape 11.2
day 11
dirty 10.8
sunset 10.8
outdoors 10.5
protection 10
park 9.9
tourist 9.8
sky 9.7
memorial 9.7
nuclear 9.7
uniform 9.6
street 9.2
silhouette 9.1
clothing 9
mountain 8.9
to 8.8
destruction 8.8
toxic 8.8
death 8.7
ancient 8.6
summer 8.4
historic 8.3
countryside 8.2
industrial 8.2
road 8.1
university 8
trees 8
stalker 7.9
autumn 7.9
adult 7.9
radioactive 7.9
gravestone 7.8
radiation 7.8
accident 7.8
protective 7.8
antique 7.8
horror 7.8
men 7.7
chemical 7.7
gas 7.7
hiking 7.7
mask 7.7
two 7.6
path 7.6
field 7.5
dark 7.5
monument 7.5
holding 7.4
environment 7.4
vacation 7.4
religion 7.2
grass 7.1
weapon 7.1
world 7

Google
created on 2019-06-04

Snapshot 82.5
Paper product 53.3

Microsoft
created on 2019-06-04

outdoor 99
ground 97.7
person 96.9
clothing 96.9
man 90.1
tree 79.7
people 69.9
group 56.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Angry 46.5%
Sad 45.6%
Disgusted 49.7%
Calm 47.2%
Confused 45.2%
Surprised 45.2%
Happy 45.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.6%
Calm 49.8%
Confused 49.5%
Disgusted 49.7%
Happy 49.5%
Sad 49.8%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.4%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Male, 55%
Calm 45.2%
Confused 45.4%
Happy 51%
Sad 46.7%
Surprised 45.2%
Disgusted 45.5%
Angry 46%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Happy 49.8%
Angry 49.6%
Calm 49.7%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Surprised 49.5%
Disgusted 49.6%
Angry 49.5%
Calm 50.3%
Sad 49.5%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Confused 49.5%
Sad 49.7%
Disgusted 49.6%
Surprised 49.5%
Angry 50.1%
Happy 49.5%
Calm 49.5%

AWS Rekognition

Age 35-55
Gender Male, 50.1%
Angry 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.8%
Calm 49.6%
Sad 49.8%
Disgusted 49.5%
Happy 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Angry 49.6%
Sad 49.9%
Disgusted 49.7%
Calm 49.6%
Happy 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Calm 49.5%
Confused 49.5%
Sad 50.3%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Sad 49.8%
Happy 49.8%
Calm 49.5%
Disgusted 49.6%
Angry 49.7%
Surprised 49.5%
Confused 49.5%

Feature analysis

Amazon

Person 99.8%

Categories

Imagga

streetview architecture 89.9%
nature landscape 6.2%
interior objects 1.1%