Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. University of Chicago Settlement: A German Play. Children from the Dewey 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, 3.2002.30.3

Human Generated Data

Title

Social Settlements: United States. Illinois. Chicago. University of Chicago Settlement: A German Play. Children from the Dewey 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, 3.2002.30.3

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.5
Person 99.5
Person 99.5
Person 99.1
Person 98.4
Person 98.4
Person 98.3
Person 98.1
Person 98
Person 97.2
Person 97
Person 95.5
Person 91.2
Astronaut 89
Sailor Suit 65.9
People 63.3
Person 58.6
Stage 56.1
Person 46.5

Clarifai
created on 2019-06-05

people 100
group 99.8
many 99.4
group together 99.1
adult 98.9
wear 98.7
music 97
woman 96.4
man 95.5
several 93.5
musician 92.3
leader 91.4
administration 91.3
child 89.9
outfit 88
singer 86.8
military 84
recreation 83.5
actor 82.9
dancing 81.5

Imagga
created on 2019-06-05

ballplayer 64
player 56.9
athlete 54.1
contestant 41.6
person 35.2
male 22.7
man 21.6
people 20.6
black 18.1
silhouette 16.5
adult 14.3
party 13.7
men 13.7
human 13.5
art 12.5
dance 12
sport 11.8
portrait 11.6
style 11.1
dark 10.8
symbol 10.8
hand 10.6
clothing 10.3
youth 10.2
pose 10
astronaut 9.8
design 9.6
boy 9.6
culture 9.4
dancer 9.1
business 9.1
hip 8.8
statue 8.7
lifestyle 8.7
grunge 8.5
blackboard 8.4
event 8.3
teenager 8.2
sculpture 8.1
room 8
businessman 7.9
love 7.9
model 7.8
disco 7.7
motion 7.7
old 7.7
guy 7.6
casual 7.6
head 7.5
fashion 7.5
sign 7.5
fun 7.5
one 7.5
graphic 7.3
exercise 7.3
group 7.2
dress 7.2
body 7.2
celebration 7.2
night 7.1
posing 7.1
face 7.1

Google
created on 2019-06-05

Photograph 96.1
People 93.7
Snapshot 85.6
Standing 80.9
Family 66
Room 65.7
Vintage clothing 65.4
Photography 62.4
Black-and-white 56.4
History 54.1
Art 50.2

Microsoft
created on 2019-06-05

clothing 98.2
posing 96.6
standing 96.2
person 96.1
old 92.8
group 88
man 87.3
player 69.4
smile 68
people 62.1
vintage 38.8

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 12-22
Gender Female, 54.3%
Confused 45.1%
Angry 45.6%
Disgusted 45%
Calm 47.9%
Happy 45%
Surprised 45.1%
Sad 51.3%

AWS Rekognition

Age 14-25
Gender Female, 53.9%
Happy 46%
Surprised 45.6%
Angry 45.4%
Calm 47.7%
Sad 48.8%
Disgusted 46.3%
Confused 45.1%

AWS Rekognition

Age 10-15
Gender Male, 53.1%
Angry 45.3%
Sad 46.1%
Surprised 45.2%
Happy 45.1%
Calm 51.5%
Disgusted 46.4%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54%
Calm 50.1%
Surprised 45.1%
Disgusted 45.2%
Angry 45.2%
Happy 45.6%
Sad 48.6%
Confused 45.2%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Disgusted 45.2%
Confused 45.6%
Surprised 45.3%
Calm 46.6%
Happy 47.2%
Angry 45.6%
Sad 49.6%

AWS Rekognition

Age 9-14
Gender Female, 54.4%
Surprised 45.1%
Sad 45.7%
Disgusted 45%
Happy 45.2%
Confused 45.1%
Calm 53.2%
Angry 45.6%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Sad 46.8%
Confused 45%
Angry 53%
Calm 45.2%
Surprised 45%
Happy 45%
Disgusted 45%

AWS Rekognition

Age 20-38
Gender Female, 55%
Calm 53.6%
Angry 45.2%
Happy 45.6%
Confused 45.1%
Surprised 45.1%
Disgusted 45.1%
Sad 45.4%

AWS Rekognition

Age 10-15
Gender Male, 54.1%
Sad 48.4%
Disgusted 45.1%
Angry 45.2%
Confused 45.1%
Calm 51.1%
Surprised 45.1%
Happy 45%

AWS Rekognition

Age 20-38
Gender Female, 53.8%
Calm 52.3%
Surprised 45.3%
Happy 45.9%
Disgusted 45.2%
Angry 45.3%
Sad 45.8%
Confused 45.2%

AWS Rekognition

Age 14-23
Gender Female, 52.2%
Happy 45.2%
Disgusted 45.1%
Surprised 45.3%
Angry 45.3%
Sad 45.8%
Confused 45.2%
Calm 53.2%

AWS Rekognition

Age 38-59
Gender Female, 50.6%
Surprised 45.5%
Sad 51.7%
Disgusted 45.5%
Happy 45.7%
Confused 45.5%
Calm 45.4%
Angry 45.8%

AWS Rekognition

Age 6-13
Gender Male, 50%
Confused 45.1%
Calm 53.4%
Angry 45.1%
Surprised 45.3%
Sad 46%
Happy 45.1%
Disgusted 45.1%

AWS Rekognition

Age 16-27
Gender Male, 50.2%
Surprised 45%
Disgusted 45%
Sad 54.5%
Calm 45.2%
Happy 45%
Confused 45.1%
Angry 45.1%

AWS Rekognition

Age 10-15
Gender Female, 53.3%
Happy 46%
Sad 50.7%
Angry 45.9%
Surprised 45.8%
Calm 45.6%
Confused 45.5%
Disgusted 45.5%

AWS Rekognition

Age 16-27
Gender Male, 53.3%
Calm 45.1%
Disgusted 45%
Sad 54.7%
Angry 45%
Happy 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 14-25
Gender Female, 54.4%
Happy 45.2%
Disgusted 45.9%
Angry 45.2%
Confused 45.1%
Calm 45.9%
Surprised 45.2%
Sad 52.5%

AWS Rekognition

Age 4-9
Gender Female, 51.5%
Calm 49.6%
Confused 45.2%
Happy 45.5%
Angry 45.8%
Sad 48%
Surprised 45.8%
Disgusted 45.2%

AWS Rekognition

Age 10-15
Gender Female, 54.4%
Confused 45.2%
Angry 46.5%
Disgusted 45.6%
Calm 46.4%
Happy 45.3%
Surprised 45.4%
Sad 50.7%

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 Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.5%

Categories