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.
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, 3.2002.1491.2

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.

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, 3.2002.1491.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 99
Human 99
Person 97.7
Person 97.5
Person 96.6
Dance Pose 96.5
Leisure Activities 96.5
Person 95
Person 94.5
Person 90
Person 88.8
Person 87.8
Person 87
Person 85.8
Person 85.3
Dance 84
Person 81.5
Crowd 78.4
Person 77.5
Clothing 70.2
Overcoat 70.2
Coat 70.2
Suit 70.2
Apparel 70.2
Person 66.4
People 65.9
Outdoors 62.7
Sport 59.4
Sports 59.4

Clarifai
created on 2019-06-04

people 99.6
group 99.5
many 99.5
adult 98.2
man 96.1
military 95.5
mammal 95.1
soldier 94.3
weapon 93.1
army 92.8
group together 92.5
administration 92.2
police 91.4
crowd 90.7
cavalry 90.4
wear 90.3
war 88.1
art 87.1
battle 86.9
building 86.6

Imagga
created on 2019-06-04

sketch 63.8
graffito 52
drawing 47.7
representation 41.6
decoration 36.2
architecture 29.3
sculpture 22.8
city 22.4
tourism 22.3
building 22.1
travel 21.8
art 21
statue 19.5
landmark 17.1
old 16
stone 16
famous 15.8
monument 14
culture 12.8
palace 12.7
column 12.2
exterior 12
street 12
outdoors 11.9
water 11.3
marble 11.1
summer 10.9
wall 10.6
landscape 10.4
ancient 10.4
fountain 10.3
history 9.8
detail 9.6
scene 9.5
people 9.5
house 9.3
outdoor 9.2
historic 9.2
tourist 9.1
sky 8.9
group 8.9
snow 8.7
natural 8.7
antique 8.6
empty 8.6
structure 8.3
park 8.2
urban 7.9
beach 7.6
historical 7.5
destination 7.5
traditional 7.5
church 7.4
man 7.4
figure 7.4
speed 7.3
ornate 7.3
color 7.2
trees 7.1
day 7.1
sea 7

Google
created on 2019-06-04

Marching 80.9
Dance 59.2
Team 52.3
Choreography 51
Art 50.2

Microsoft
created on 2019-06-04

outdoor 95.6
person 82
several 10.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 52%
Confused 45.1%
Calm 45.3%
Disgusted 45.1%
Happy 45.7%
Angry 45.6%
Sad 53%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 50%
Confused 49.5%
Sad 49.7%
Angry 49.6%
Happy 49.6%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 52.9%
Sad 47.7%
Confused 46.1%
Angry 46.3%
Surprised 46%
Disgusted 46.5%
Happy 46.7%
Calm 45.7%

AWS Rekognition

Age 30-47
Gender Male, 50%
Calm 49.6%
Disgusted 50.1%
Angry 49.6%
Sad 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 11-18
Gender Male, 50.7%
Sad 47.3%
Disgusted 45.2%
Confused 45.3%
Calm 49.7%
Happy 46.4%
Surprised 45.4%
Angry 45.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Sad 49.6%
Happy 49.7%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.8%

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.5%
Confused 49.6%
Sad 50%
Calm 49.5%
Angry 49.6%
Happy 49.7%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Confused 49.5%
Sad 49.8%
Surprised 49.5%
Happy 49.6%
Angry 49.5%
Disgusted 49.5%
Calm 50%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.7%
Calm 49.6%
Confused 49.6%
Sad 49.8%
Angry 49.8%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.5%
Confused 49.6%
Angry 49.6%
Disgusted 49.6%
Sad 49.8%
Happy 49.6%
Calm 49.9%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.6%
Angry 49.6%
Sad 49.9%
Happy 49.7%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 4-7
Gender Male, 50.5%
Calm 49.7%
Confused 49.7%
Sad 49.8%
Angry 49.6%
Happy 49.6%
Disgusted 49.5%
Surprised 49.6%

Feature analysis

Amazon

Person 99%

Categories

Imagga

interior objects 93.6%
pets animals 5.2%
paintings art 1.2%