Human Generated Data

Title

Untitled (group of fifteen elderly women posed in living room)
Date

1947
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6484

Human Generated Data

Title

Untitled (group of fifteen elderly women posed in living room)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1947

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6484

Machine Generated Data

Tags

Amazon
created on 2019-03-22

Person 99.7
Human 99.7
Person 99.6
Person 99.3
Person 99.3
Person 99.2
Person 99.1
Person 98.9
Person 98.6
Apparel 98.5
Clothing 98.5
Person 98.3
Furniture 97.7
Person 97.6
Shorts 93.5
Person 92.8
Person 91.6
Person 90.6
Home Decor 90.1
Person 87.1
Female 87
Dress 84.7
People 81.4
Face 80.4
Indoors 77.9
Room 77.9
Child 73.1
Kid 73.1
Chair 71.6
Girl 69.8
Person 69.6
Food 69.5
Meal 69.5
Smile 65.2
Woman 61.5
Skirt 59.2
Kindergarten 58

Clarifai
created on 2019-03-22

group 99.7
people 99.7
group together 99.3
many 97.3
man 96.9
adult 96.1
woman 95.7
child 95.3
several 89.6
education 89.3
five 84.4
leader 83.5
meeting 83.2
boy 82.9
school 77.9
crowd 77.4
family 75.5
room 75
music 74.6
administration 73

Imagga
created on 2019-03-22

kin 57.2
people 31.8
male 29.9
classroom 29.4
man 28.5
group 27.4
room 27.3
person 26.5
adult 22.9
teacher 21.9
men 20.6
child 19.9
business 18.8
happy 18.8
businessman 18.5
women 18.2
team 17.9
education 16.4
boy 15.6
smiling 15.2
student 14.7
school 14.6
together 14
couple 13.9
musical instrument 13.5
lifestyle 13
portrait 12.9
home 12.7
family 12.4
blackboard 12.4
friends 12.2
cheerful 12.2
girls 11.8
businesswoman 11.8
silhouette 11.6
meeting 11.3
happiness 11
mother 10.9
class 10.6
new 10.5
table 10.4
youth 10.2
teamwork 10.2
percussion instrument 10.1
smile 10
to 9.7
interior 9.7
working 9.7
black 9.6
talking 9.5
professional 9.5
executive 9.2
teen 9.2
life 9
success 8.8
indoors 8.8
work 8.6
adults 8.5
casual 8.5
friendship 8.4
modern 8.4
study 8.4
20s 8.2
teenager 8.2
children 8.2
laptop 8.2
worker 8.1
office 8
kid 8
job 8
holiday 7.9
color 7.8
corporate 7.7
sitting 7.7
four 7.7
marimba 7.6
businesspeople 7.6
active 7.5
successful 7.3
indoor 7.3
board 7.2
suit 7.2
handsome 7.1

Google
created on 2019-03-22

Photograph 96.8
People 94.3
Social group 91.1
Snapshot 86.4
Black-and-white 74.4
Family 68.7
Photography 67.8
Room 65.7
Team 64.1
Monochrome 60.1
History 54.1

Microsoft
created on 2019-03-22

person 99.6
people 70.3
group 56.1
school 29.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 54.5%
Happy 50.6%
Sad 45.1%
Calm 45.6%
Disgusted 48.3%
Surprised 45.2%
Confused 45.1%
Angry 45.1%

AWS Rekognition

Age 48-68
Gender Male, 51.3%
Happy 45.1%
Sad 47.4%
Disgusted 45.2%
Confused 45.1%
Surprised 45.2%
Angry 45.5%
Calm 51.5%

AWS Rekognition

Age 35-52
Gender Male, 55%
Surprised 45.1%
Sad 45.1%
Happy 45.1%
Disgusted 45.1%
Calm 54.5%
Confused 45%
Angry 45%

AWS Rekognition

Age 57-77
Gender Female, 50.7%
Confused 45.3%
Angry 45.9%
Sad 46.6%
Calm 49.6%
Disgusted 45.4%
Surprised 45.5%
Happy 46.8%

AWS Rekognition

Age 15-25
Gender Male, 50.2%
Happy 45.7%
Confused 45.4%
Disgusted 45%
Calm 46.2%
Angry 45.1%
Surprised 45.1%
Sad 52.4%

AWS Rekognition

Age 38-57
Gender Female, 50.1%
Happy 45.9%
Sad 45.7%
Angry 45.3%
Surprised 45.5%
Disgusted 46.1%
Calm 51.4%
Confused 45.2%

AWS Rekognition

Age 35-55
Gender Male, 50.3%
Happy 45.3%
Sad 45.5%
Disgusted 45.2%
Angry 45.2%
Calm 53.6%
Surprised 45.2%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54%
Sad 45.9%
Surprised 45.3%
Angry 45.4%
Disgusted 45.4%
Confused 45.3%
Calm 52.1%
Happy 45.6%

AWS Rekognition

Age 48-68
Gender Male, 53.5%
Happy 45.1%
Sad 45.1%
Angry 45%
Surprised 45.1%
Confused 45%
Disgusted 45.1%
Calm 54.7%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Angry 45.2%
Calm 53.2%
Confused 45.1%
Disgusted 45.2%
Happy 45.7%
Sad 45.4%
Surprised 45.2%

AWS Rekognition

Age 45-63
Gender Male, 54.9%
Calm 52.2%
Surprised 45.2%
Happy 46.4%
Sad 45.6%
Disgusted 45.2%
Angry 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Disgusted 45.2%
Sad 50.3%
Confused 45.4%
Happy 45.1%
Angry 48.2%
Surprised 45.2%
Calm 45.7%

AWS Rekognition

Age 27-44
Gender Male, 52.7%
Angry 45.3%
Happy 45.5%
Confused 45.2%
Sad 50.4%
Surprised 45.1%
Calm 48.4%
Disgusted 45%

AWS Rekognition

Age 45-63
Gender Female, 53.3%
Confused 45.3%
Angry 45.4%
Disgusted 50.8%
Sad 45.2%
Calm 46.1%
Happy 45.9%
Surprised 46.2%

Feature analysis

Amazon

Person 99.7%
Chair 71.6%

Text analysis

Amazon

KODK