Human Generated Data

Title

Untitled (school, Red House, West Virginia)

Date

October 1935

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1826

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (school, Red House, West Virginia)

People

Artist: Ben Shahn, American 1898 - 1969

Date

October 1935

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1826

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-07

Architecture 100
Building 100
School 100
Classroom 99.4
Indoors 99.4
Room 99.4
Adult 99
Male 99
Man 99
Person 99
Person 98.1
Person 97.8
Adult 97.4
Male 97.4
Man 97.4
Person 97.4
Adult 97.2
Male 97.2
Man 97.2
Person 97.2
Male 96.7
Person 96.7
Boy 96.7
Teen 96.7
Person 96.7
Adult 96.4
Person 96.4
Female 96.4
Woman 96.4
Person 94.3
Person 91.1
Face 89.5
Head 89.5
Person 74.1
Student 56.8
Furniture 56.2
Table 56.2
People 56.1
Desk 55.8

Clarifai
created on 2018-05-11

people 99.9
group 99.7
group together 98.7
many 97.7
adult 97.5
man 96.6
woman 95.1
sit 94.6
music 93.5
child 90.7
musician 90.6
sitting 90.3
education 89.9
teacher 87.5
recreation 87.4
administration 87
room 86.8
war 85.2
audience 85.1
boy 85

Imagga
created on 2023-10-07

brass 28.9
man 26.9
person 25.7
people 25.1
wind instrument 23.5
adult 21.1
kin 20
black 19.9
male 19.8
musical instrument 18.6
happy 16.3
dance 16.1
lifestyle 15.2
style 14.8
couple 14.8
group 14.5
fashion 14.3
love 14.2
portrait 13.6
silhouette 13.2
room 12.9
sitting 12.9
fun 12.7
attractive 12.6
night 12.4
men 12
sport 11.9
one 11.2
dark 10.8
pretty 10.5
sexy 10.4
active 10.2
pose 10
photographer 9.9
posing 9.8
dancer 9.8
classroom 9.7
dancing 9.6
women 9.5
party 9.4
happiness 9.4
passion 9.4
friends 9.4
clothing 9.3
model 9.3
buddy 9.3
fitness 9
suit 9
human 9
boy 8.7
youth 8.5
leisure 8.3
lady 8.1
sunset 8.1
body 8
disco 7.7
elegant 7.7
modern 7.7
expression 7.7
performance 7.7
casual 7.6
erotic 7.6
music 7.5
professional 7.5
action 7.4
water 7.3
sensuality 7.3
exercise 7.3
teacher 7.2
looking 7.2
player 7.1
trombone 7.1
together 7

Google
created on 2018-05-11

Microsoft
created on 2018-05-11

person 98.6
indoor 90.9
group 63.1
old 48.3
crowd 1.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 16-22
Gender Male, 99.7%
Sad 100%
Calm 7.2%
Surprised 6.3%
Fear 5.9%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 27-37
Gender Male, 95.8%
Confused 66.3%
Sad 17.2%
Surprised 12.4%
Fear 6.7%
Calm 4.1%
Angry 2%
Disgusted 0.8%
Happy 0.3%

AWS Rekognition

Age 23-31
Gender Female, 100%
Sad 98.8%
Calm 35%
Surprised 6.5%
Fear 6%
Angry 5.7%
Disgusted 0.4%
Confused 0.4%
Happy 0.1%

AWS Rekognition

Age 16-24
Gender Female, 84.7%
Sad 67.8%
Calm 43.8%
Surprised 14.1%
Fear 7.8%
Angry 4.7%
Confused 2.3%
Disgusted 1.2%
Happy 1%

AWS Rekognition

Age 18-24
Gender Male, 99.9%
Calm 53.9%
Sad 52.6%
Confused 9.5%
Surprised 8%
Fear 6%
Angry 4.4%
Disgusted 1%
Happy 0.5%

AWS Rekognition

Age 20-28
Gender Female, 99.3%
Sad 39.8%
Calm 36.2%
Fear 21.1%
Surprised 7.9%
Confused 5.9%
Angry 4.4%
Happy 3.4%
Disgusted 1.7%

AWS Rekognition

Age 20-28
Gender Female, 87.2%
Calm 86.3%
Surprised 8.1%
Fear 6.2%
Sad 4.8%
Confused 2.9%
Angry 0.5%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 25-35
Gender Male, 92.3%
Fear 95.4%
Happy 11%
Surprised 7%
Sad 2.2%
Angry 0.2%
Confused 0.2%
Calm 0.2%
Disgusted 0.1%

Microsoft Cognitive Services

Age 5
Gender Female

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

Google Vision

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

Feature analysis

Amazon

Adult 99%
Male 99%
Man 99%
Person 99%
Boy 96.7%
Teen 96.7%
Female 96.4%
Woman 96.4%

Categories