Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Brooklyn Vacation School - Raffia Work.
Date

c. 1900
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, 3.2002.358.2

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Brooklyn Vacation School - Raffia Work.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.358.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

School 100
Indoors 100
Room 100
Classroom 100
Person 98.1
Human 98.1
Person 96.8
Person 95.7
Person 94.2
Person 93.5
Person 92.7
Person 89.1
Person 87.1
Person 85.2
Person 83.6
Person 80.9
Person 79.7
Person 77.9
Mammal 68.6
Horse 68.6
Animal 68.6
Art 66.6
Painting 66.6
Person 65.8
Person 65.4

Clarifai
created on 2019-06-04

people 100
many 99.9
group 99.7
child 97.3
group together 96.7
adult 95.7
crowd 95
education 94.8
administration 93.5
school 93
military 90.1
woman 90
recreation 89.9
leader 89.1
man 88.7
wear 88.2
boy 87.8
furniture 86.7
room 85.7
spectator 84.6

Imagga
created on 2019-06-04

room 45.1
classroom 43.8
teacher 23
blackboard 20.4
person 19.6
adult 18.5
people 18.4
man 15.4
educator 14.9
hall 13.8
chair 12.7
art 12.6
professional 12.1
group 12.1
male 12
old 11.8
bass 10.9
landscape 10.4
men 10.3
wall 10.3
grunge 10.2
design 10.1
student 10.1
interior 9.7
business 9.7
travel 9.1
building 9.1
women 8.7
education 8.6
modern 8.4
silhouette 8.3
vintage 8.3
indoor 8.2
retro 8.2
style 8.1
happy 8.1
handsome 8
work 8
black 7.8
architecture 7.8
scene 7.8
scholar 7.8
sitting 7.7
sky 7.6
world 7.6
casual 7.6
pattern 7.5
city 7.5
grain 7.4
light 7.3
lifestyle 7.2
music 7.2
decoration 7.1
businessman 7.1
happiness 7

Google
created on 2019-06-04

Photograph 94.8
Snapshot 84.5
Room 83.9
History 69.9
Event 67
Classroom 66.4
Crowd 62.7
Stock photography 62.1
Art 58.1
Vintage clothing 58
Class 56.1
Family 51.8
Illustration 50.4

Microsoft
created on 2019-06-04

person 96.7
clothing 95.4
old 85.5
table 81.3
furniture 79.3
group 73.2
woman 65.8
chair 62.1
man 53.4
several 10.6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 16-27
Gender Female, 51.9%
Angry 45.5%
Surprised 45.1%
Calm 47.9%
Happy 45.4%
Disgusted 45.3%
Sad 50.6%
Confused 45.2%

AWS Rekognition

Age 16-27
Gender Female, 60.9%
Sad 88.7%
Happy 0.7%
Calm 6%
Disgusted 1%
Angry 1.7%
Surprised 1.1%
Confused 0.6%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Surprised 45.2%
Happy 45.1%
Disgusted 45.2%
Calm 47.8%
Confused 45.6%
Sad 50.5%
Angry 45.8%

AWS Rekognition

Age 19-36
Gender Female, 52.9%
Disgusted 45.2%
Sad 46.5%
Calm 52.1%
Surprised 45.4%
Confused 45.2%
Angry 45.4%
Happy 45.1%

AWS Rekognition

Age 15-25
Gender Male, 53.8%
Sad 50.6%
Happy 45.1%
Calm 48.6%
Disgusted 45.1%
Angry 45.4%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Disgusted 45.1%
Surprised 45.2%
Angry 45.7%
Happy 45.2%
Calm 50%
Sad 48.7%
Confused 45.1%

AWS Rekognition

Age 14-25
Gender Male, 50.9%
Confused 45.2%
Sad 51.9%
Angry 45.9%
Disgusted 45.3%
Calm 46.2%
Surprised 45.2%
Happy 45.3%

AWS Rekognition

Age 4-9
Gender Female, 52.5%
Disgusted 45%
Surprised 45%
Angry 45.1%
Happy 45%
Calm 45.2%
Sad 54.5%
Confused 45%

AWS Rekognition

Age 9-14
Gender Female, 51.3%
Disgusted 45.6%
Happy 45.3%
Calm 47.8%
Angry 45.6%
Confused 45.1%
Sad 50.4%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.8%
Happy 49.9%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 53.6%
Confused 45.1%
Surprised 45.2%
Happy 45.3%
Disgusted 45.5%
Calm 47.5%
Sad 50.8%
Angry 45.6%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Happy 45.2%
Calm 47.2%
Confused 45.2%
Disgusted 46%
Surprised 45.3%
Angry 45.4%
Sad 50.8%

AWS Rekognition

Age 35-52
Gender Female, 54.6%
Calm 45.1%
Happy 45.1%
Surprised 45%
Sad 54.3%
Angry 45.3%
Disgusted 45.1%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Happy 45.2%
Angry 45.2%
Confused 45.2%
Calm 45.3%
Sad 53.7%
Disgusted 45.2%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 51.6%
Sad 54.4%
Happy 45.5%
Angry 45.1%
Calm 45%
Surprised 45%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Calm 50%
Disgusted 49.5%
Surprised 49.6%
Sad 49.6%
Happy 49.6%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Surprised 49.5%
Angry 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.9%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Happy 49.5%
Sad 50.5%
Calm 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Sad 50.5%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Sad 50.4%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Male, 51.2%
Angry 45.3%
Happy 45.2%
Disgusted 45.2%
Surprised 45.2%
Calm 50.4%
Confused 45.1%
Sad 48.5%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Surprised 49.5%
Calm 49.6%
Sad 50.2%
Happy 49.6%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Angry 50.1%
Sad 49.6%
Disgusted 49.5%
Calm 49.7%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.1%
Sad 50.1%
Happy 49.5%
Calm 49.6%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Angry 49.7%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%
Calm 49.8%
Confused 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Disgusted 49.6%
Sad 49.7%
Calm 50.1%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Sad 49.7%
Disgusted 49.6%
Confused 49.6%
Calm 49.8%
Happy 49.7%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

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

Microsoft Cognitive Services

Age 8
Gender Female

Microsoft Cognitive Services

Age 27
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Possible
Blurred Very unlikely

Feature analysis

Amazon

Person 98.1%
Horse 68.6%
Painting 66.6%

Text analysis

Amazon

Vacatuo
Jruthisthuk
BelmontAve,
hamw Jruthisthuk
hamw
Jom
R8rookh
mom
C 7
4t BelmontAve,
4t

Google

hame 463montave Jruthisthu anotelmythumgamam Vacation
hame
Vacation
463montave
Jruthisthu
anotelmythumgamam