Human Generated Data

Title

Untitled (New Orleans, Louisiana)
Date

October 1935
People

Artist: Ben Shahn, American 1898 - 1969
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.2566
Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (New Orleans, Louisiana)

People

Artist: Ben Shahn, American 1898 - 1969

Date

October 1935

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.2566

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-06

Adult 98.7
Male 98.7
Man 98.7
Person 98.7
Adult 97.4
Male 97.4
Man 97.4
Person 97.4
Adult 97.3
Person 97.3
Female 97.3
Woman 97.3
Adult 97
Male 97
Man 97
Person 97
Person 96.7
Person 96.1
Male 95.9
Person 95.9
Boy 95.9
Child 95.9
Person 95.8
Person 95.1
Person 94.4
Person 93.5
Person 93.5
Person 93
Person 92.5
Person 92.1
Person 89.9
Person 88.9
Person 87.9
Person 87.1
Clothing 86.3
Footwear 86.3
Shoe 86.3
Person 85.6
Face 85.2
Head 85.2
Adult 85.1
Male 85.1
Man 85.1
Person 85.1
Person 84.7
Shoe 78.1
Animal 75.2
Wildlife 75.2
Mammal 74.3
Ape 72.1
Bear 62.7
Black Bear 62.7
Person 62.7
Shoe 56.4
Shoe 55.8
Architecture 55.2
Building 55.2
Classroom 55.2
Indoors 55.2
Room 55.2
School 55.2

Clarifai
created on 2018-05-10

people 100
group 99.7
many 98.8
adult 98.3
child 98.1
group together 97.1
woman 97
man 96.1
administration 93.2
boy 93.1
recreation 90.2
sit 89.1
school 88.5
war 87.3
education 86.6
several 85.4
leader 84.7
clergy 81
crowd 81
wait 80.4

Imagga
created on 2023-10-06

trainer 44.9
man 41.6
person 39.2
people 33.5
student 30.8
male 30.6
businessman 24.7
professional 23.7
nurse 23
business 22.5
group 21.8
men 21.5
adult 20.5
team 19.7
happy 19.4
smiling 18.1
teacher 18
smile 17.1
enrollee 15.9
child 15.2
meeting 15.1
mature 13.9
couple 13.9
standing 13.9
medical 13.2
businesswoman 12.7
40s 12.7
uniform 12.6
portrait 12.3
doctor 12.2
colleagues 11.7
worker 11.6
family 11.6
diversity 11.5
working 11.5
school 11.4
together 11.4
teamwork 11.1
women 11.1
occupation 11
classroom 11
lifestyle 10.8
room 10.8
job 10.6
handsome 9.8
hospital 9.7
medicine 9.7
looking 9.6
four 9.6
boy 9.6
education 9.5
corporate 9.4
two 9.3
care 9
health 9
success 8.8
office 8.8
diverse 8.8
indoors 8.8
happiness 8.6
sitting 8.6
businesspeople 8.5
senior 8.4
black 8.4
executive 8.4
holding 8.3
20s 8.2
confident 8.2
cheerful 8.1
suit 8.1
home 8
class 7.7
confidence 7.7
ethnic 7.6
talking 7.6
college 7.6
adults 7.6
desk 7.6
life 7.5
tradition 7.4
friendly 7.3
educator 7.3
new 7.3
color 7.2
work 7.1
love 7.1
blackboard 7.1

Google
created on 2018-05-10

photograph 95.7
black 95
black and white 87.8
snapshot 81.8
monochrome photography 68.9
vintage clothing 62.8
monochrome 60.5
history 57.4
recreation 53.1
human behavior 50.2

Microsoft
created on 2018-05-10

person 100
group 93.8
standing 82.7
people 82.5
posing 75.1
old 42.1
crowd 26.9
clothes 18.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 13-21
Gender Female, 99.9%
Calm 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Confused 0.2%
Disgusted 0%
Angry 0%

AWS Rekognition

Age 16-24
Gender Female, 99.9%
Calm 96.3%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Happy 0.9%
Confused 0.8%
Angry 0.7%
Disgusted 0.3%

AWS Rekognition

Age 14-22
Gender Female, 99.6%
Calm 96.4%
Surprised 6.3%
Fear 5.9%
Confused 2.7%
Sad 2.3%
Angry 0.2%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 6-14
Gender Male, 99.4%
Calm 91.1%
Surprised 6.5%
Fear 6%
Sad 3.1%
Happy 2.9%
Angry 1.3%
Confused 0.7%
Disgusted 0.6%

AWS Rekognition

Age 13-21
Gender Male, 91%
Sad 100%
Confused 9.6%
Surprised 6.3%
Fear 5.9%
Calm 3.5%
Angry 0.4%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 22-30
Gender Male, 100%
Calm 99.1%
Surprised 6.5%
Fear 5.9%
Sad 2.2%
Confused 0.1%
Angry 0.1%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 20-28
Gender Male, 95.3%
Calm 98.8%
Surprised 6.3%
Fear 5.9%
Sad 2.4%
Confused 0.1%
Angry 0.1%
Happy 0.1%
Disgusted 0%

AWS Rekognition

Age 45-53
Gender Male, 96%
Calm 55.7%
Sad 14.1%
Surprised 11.4%
Happy 10.2%
Fear 6.8%
Angry 6.6%
Confused 2.2%
Disgusted 1.3%

AWS Rekognition

Age 6-12
Gender Female, 90.7%
Sad 96.7%
Calm 49.2%
Surprised 6.3%
Fear 6%
Angry 0.1%
Happy 0.1%
Confused 0%
Disgusted 0%

AWS Rekognition

Age 16-24
Gender Male, 100%
Calm 78.7%
Confused 16.7%
Surprised 6.6%
Fear 5.9%
Sad 2.8%
Angry 1.4%
Happy 0.3%
Disgusted 0.2%

AWS Rekognition

Age 6-16
Gender Female, 100%
Sad 99.9%
Calm 18.8%
Surprised 6.3%
Fear 6%
Angry 1.8%
Happy 1.3%
Confused 1.2%
Disgusted 0.9%

AWS Rekognition

Age 11-19
Gender Female, 100%
Calm 91.3%
Surprised 7.6%
Fear 6.2%
Sad 3.2%
Angry 0.8%
Disgusted 0.7%
Confused 0.7%
Happy 0.2%

AWS Rekognition

Age 16-22
Gender Male, 99.8%
Surprised 85.2%
Sad 43.8%
Fear 14.1%
Angry 3.5%
Confused 2.7%
Calm 1.4%
Disgusted 0.8%
Happy 0.6%

AWS Rekognition

Age 10-18
Gender Female, 100%
Sad 100%
Surprised 7.4%
Fear 7%
Confused 1.5%
Calm 1%
Angry 0.8%
Happy 0.6%
Disgusted 0.4%

AWS Rekognition

Age 21-29
Gender Male, 99.9%
Sad 96.4%
Calm 27.3%
Confused 17.5%
Surprised 6.6%
Fear 6.5%
Disgusted 1.6%
Angry 1.2%
Happy 0.4%

AWS Rekognition

Age 16-24
Gender Male, 99.5%
Sad 100%
Calm 14.7%
Surprised 6.5%
Fear 6%
Confused 0.6%
Angry 0.2%
Happy 0.1%
Disgusted 0.1%

AWS Rekognition

Age 45-53
Gender Male, 99.5%
Calm 79.6%
Sad 20.4%
Surprised 6.9%
Fear 6%
Disgusted 0.6%
Confused 0.5%
Angry 0.3%
Happy 0.3%

AWS Rekognition

Age 19-27
Gender Male, 98.7%
Calm 55.1%
Sad 34.3%
Surprised 17.9%
Fear 7.1%
Confused 2.6%
Angry 1.5%
Happy 1.4%
Disgusted 0.6%

AWS Rekognition

Age 22-30
Gender Male, 99.8%
Calm 95.8%
Fear 6.5%
Surprised 6.4%
Sad 2.6%
Confused 0.8%
Happy 0.1%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 16-24
Gender Male, 97.6%
Sad 99.9%
Calm 19.3%
Confused 6.8%
Surprised 6.3%
Fear 6%
Disgusted 0.3%
Angry 0.2%
Happy 0.1%

AWS Rekognition

Age 20-28
Gender Female, 71%
Sad 99.8%
Calm 20%
Surprised 6.7%
Fear 6.1%
Confused 4.2%
Angry 1.9%
Happy 0.7%
Disgusted 0.6%

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 24
Gender Male

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 23
Gender Male

Microsoft Cognitive Services

Age 21
Gender Female

Microsoft Cognitive Services

Age 21
Gender Male

Microsoft Cognitive Services

Age 43
Gender Male

Microsoft Cognitive Services

Age 27
Gender Male

Microsoft Cognitive Services

Age 12
Gender Female

Microsoft Cognitive Services

Age 12
Gender Male

Microsoft Cognitive Services

Age 20
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 10
Gender Female

Microsoft Cognitive Services

Age 43
Gender Male

Microsoft Cognitive Services

Age 14
Gender Female

Microsoft Cognitive Services

Age 23
Gender Male

Microsoft Cognitive Services

Age 22
Gender Male

Microsoft Cognitive Services

Age 56
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 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

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

Google Vision

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

Google Vision

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

Google Vision

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

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
Male
Man
Person
Female
Woman
Boy
Child
Shoe
Adult 98.7%
Adult 97.4%
Adult 97.3%
Adult 97%
Adult 85.1%
Male 98.7%
Male 97.4%
Male 97%
Male 95.9%
Male 85.1%
Man 98.7%
Man 97.4%
Man 97%
Man 85.1%
Person 98.7%
Person 97.4%
Person 97.3%
Person 97%
Person 96.7%
Person 96.1%
Person 95.9%
Person 95.8%
Person 95.1%
Person 94.4%
Person 93.5%
Person 93.5%
Person 93%
Person 92.5%
Person 92.1%
Person 89.9%
Person 88.9%
Person 87.9%
Person 87.1%
Person 85.6%
Person 85.1%
Person 84.7%
Person 62.7%
Female 97.3%
Woman 97.3%
Boy 95.9%
Child 95.9%
Shoe 86.3%
Shoe 78.1%
Shoe 56.4%
Shoe 55.8%

Categories

Imagga

people portraits 74.9%
paintings art 23.4%