Human Generated Data

Title

Untitled (group portrait of young children posed standing on bleachers with teacher)
Date

1952-1953
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, 4.2002.6628

Human Generated Data

Title

Untitled (group portrait of young children posed standing on bleachers with teacher)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1952-1953

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6628

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Person 99.8
Human 99.8
Clothing 99.8
Apparel 99.8
Person 99.7
Person 99.4
Shorts 99.4
Person 99.1
Person 99
Person 98.9
Person 98.8
Person 97.8
Person 97.2
Shoe 97
Footwear 97
Shoe 92.9
Dress 91.9
Helmet 90.3
Female 88.4
Face 83.5
People 80
Shoe 80
Person 71.2
Crowd 71
Child 69.5
Kid 69.5
Person 68.8
Person 66.3
Helmet 65.4
Woman 65
Suit 64.7
Coat 64.7
Overcoat 64.7
Girl 64.5
Person 62.1
Person 61.7
Portrait 61.1
Photography 61.1
Photo 61.1
Stage 60.1
Skirt 58.8
Sailor Suit 57.3
Person 56.9
Shoe 56.2
Shoe 55.6
Person 55.3
Person 55.3
Performer 55.1
Shoe 55
Person 53.2
Shoe 51.6
Person 47.4
Person 45.4
Person 43.7

Clarifai
created on 2019-03-26

people 99.7
group 98.9
child 98.7
many 98.5
group together 98.3
adult 96.4
school 96.3
education 95
wear 93.8
woman 93.2
portrait 92.9
man 92.7
boy 91.6
music 90.6
uniform 86.8
facial expression 85.7
several 83.7
outfit 82.1
athlete 81.6
recreation 78.5

Imagga
created on 2019-03-26

brass 54.2
wind instrument 42.2
man 40.8
group 36.2
people 35.7
businessman 34.4
business 30.9
male 30.5
cornet 29.8
silhouette 29.8
musical instrument 29.2
person 28.7
trombone 24.5
team 24.2
men 24
classroom 19.4
professional 19.1
adult 18.6
success 18.5
work 17.2
job 16.8
teamwork 16.7
room 16.2
blackboard 14.6
businesswoman 14.5
happy 14.4
crowd 14.4
suit 13.5
human 13.5
women 13.4
worker 13.4
corporate 12.9
nurse 12.6
meeting 12.2
couple 12.2
black 12
teacher 12
employee 11.5
student 11.4
boy 11.3
world 11
occupation 11
smiling 10.8
design 10.1
communication 10.1
shadow 9.8
portrait 9.7
together 9.6
office 9.6
company 9.3
smile 9.3
fashion 9
staff 8.7
boss 8.6
dance 8.5
casual 8.5
dark 8.3
golfer 8.1
looking 8
standing 7.8
sport 7.8
education 7.8
silhouettes 7.8
party 7.7
diversity 7.7
chart 7.6
player 7.6
gymnasium 7.5
sign 7.5
friends 7.5
friendship 7.5
executive 7.4
competition 7.3
idea 7.1

Google
created on 2019-03-26

Social group 91.9
Team 82.2
Class 80.3
Uniform 64.6
Crew 59.5
State school 51.3

Microsoft
created on 2019-03-26

person 99.9
posing 99.9
group 95.5
standing 93
outdoor 91.9
people 66.6
female 29.2
male 16.6
ballet 10.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 51.6%
Confused 45.2%
Angry 45.2%
Surprised 45.2%
Disgusted 45.1%
Calm 46.8%
Happy 46%
Sad 51.6%

AWS Rekognition

Age 20-38
Gender Female, 53.2%
Disgusted 45.1%
Confused 45.2%
Sad 47%
Happy 51.7%
Surprised 45.4%
Calm 45.3%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.3%
Calm 49.6%
Disgusted 45.1%
Sad 45.8%
Confused 45.2%
Happy 48.8%
Surprised 45.3%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Female, 51.4%
Confused 45.2%
Angry 45.2%
Surprised 45.4%
Happy 45.3%
Calm 53%
Disgusted 45.1%
Sad 46%

AWS Rekognition

Age 27-44
Gender Female, 54%
Confused 45.4%
Surprised 46.6%
Sad 47.1%
Disgusted 45.2%
Happy 49.5%
Calm 45.9%
Angry 45.4%

AWS Rekognition

Age 20-38
Gender Male, 51.3%
Confused 45.5%
Angry 45.5%
Surprised 45.7%
Happy 48.3%
Calm 48.9%
Disgusted 45.3%
Sad 45.8%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Angry 45.1%
Surprised 45.3%
Sad 46.7%
Calm 51.9%
Confused 45.1%
Happy 45.8%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 53.4%
Confused 45.2%
Angry 45.5%
Surprised 45.4%
Disgusted 45.3%
Calm 48.1%
Happy 45.4%
Sad 50.1%

AWS Rekognition

Age 11-18
Gender Female, 50.9%
Angry 45.3%
Happy 47%
Sad 47.5%
Confused 45.2%
Disgusted 45.2%
Surprised 45.3%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 45.3%
Disgusted 45.2%
Confused 45.4%
Surprised 45.6%
Sad 47%
Happy 50.1%
Calm 46.3%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Calm 51.1%
Disgusted 45%
Sad 48%
Confused 45.1%
Happy 45.4%
Surprised 45.2%
Angry 45.2%

AWS Rekognition

Age 11-18
Gender Female, 52.8%
Angry 45.4%
Happy 46.5%
Sad 48.9%
Confused 45.3%
Disgusted 45.2%
Surprised 46.2%
Calm 47.5%

AWS Rekognition

Age 26-43
Gender Female, 54.2%
Confused 45.3%
Angry 45.3%
Surprised 47.8%
Happy 47%
Calm 47.5%
Disgusted 45.5%
Sad 46.5%

AWS Rekognition

Age 12-22
Gender Male, 54.5%
Calm 48.3%
Disgusted 45.4%
Sad 46.8%
Confused 45.4%
Happy 47.9%
Surprised 45.5%
Angry 45.7%

AWS Rekognition

Age 26-43
Gender Female, 51.5%
Confused 45.1%
Angry 45.1%
Surprised 45.3%
Happy 45.3%
Calm 53.7%
Disgusted 45.1%
Sad 45.5%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Confused 45.3%
Happy 46.6%
Sad 49.5%
Surprised 45.4%
Angry 45.3%
Disgusted 45.2%
Calm 47.6%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Confused 45.1%
Calm 53.8%
Happy 45.4%
Disgusted 45.1%
Surprised 45.2%
Sad 45.3%
Angry 45.1%

AWS Rekognition

Age 23-38
Gender Male, 51.4%
Confused 45.2%
Calm 50.1%
Happy 47.7%
Disgusted 45.1%
Surprised 46.2%
Sad 45.5%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Angry 45.2%
Disgusted 45.2%
Confused 45.2%
Surprised 45.5%
Sad 45.4%
Happy 46.9%
Calm 51.6%

AWS Rekognition

Age 29-45
Gender Female, 51.5%
Confused 45.1%
Happy 45.2%
Angry 45.1%
Disgusted 45.1%
Sad 46.3%
Calm 53%
Surprised 45.2%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Disgusted 45%
Angry 45%
Sad 45.1%
Happy 54.6%
Calm 45.1%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 19-36
Gender Female, 52.4%
Sad 45.3%
Disgusted 45%
Happy 46.3%
Calm 53.2%
Angry 45.1%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 52.7%
Sad 45.6%
Confused 45.2%
Happy 45.6%
Angry 45.2%
Calm 53%
Disgusted 45.1%
Surprised 45.3%

AWS Rekognition

Age 10-15
Gender Female, 54.1%
Angry 45.3%
Happy 45.7%
Sad 51.1%
Confused 45.2%
Disgusted 45.3%
Surprised 45.3%
Calm 47.1%

AWS Rekognition

Age 10-15
Gender Female, 52.3%
Sad 49.3%
Angry 45.1%
Surprised 45.1%
Happy 45.7%
Calm 49.6%
Confused 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Female, 52.3%
Disgusted 45.2%
Surprised 45.3%
Confused 45.2%
Angry 45.3%
Sad 49.2%
Calm 48.2%
Happy 46.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 45.1%
Confused 45.1%
Surprised 45.2%
Angry 45.2%
Happy 45.4%
Sad 53%
Calm 46%

AWS Rekognition

Age 26-43
Gender Female, 54%
Happy 53%
Sad 45.5%
Calm 45.4%
Angry 45.2%
Confused 45.1%
Disgusted 45.1%
Surprised 45.5%

AWS Rekognition

Age 10-15
Gender Male, 54%
Happy 45.5%
Disgusted 45%
Sad 46.1%
Angry 45.2%
Confused 45.1%
Surprised 45.1%
Calm 53%

AWS Rekognition

Age 20-38
Gender Female, 52.8%
Sad 46.5%
Confused 45.3%
Angry 45.3%
Surprised 45.7%
Calm 50.5%
Disgusted 45.2%
Happy 46.6%

AWS Rekognition

Age 35-52
Gender Female, 54.5%
Disgusted 45.2%
Confused 45.3%
Surprised 45.4%
Angry 45.6%
Happy 45.5%
Sad 48.2%
Calm 49.9%

Feature analysis

Amazon

Person 99.8%
Shoe 97%
Helmet 90.3%

Categories

Imagga

people portraits 79.3%
streetview architecture 9.8%
paintings art 4.8%
events parties 4.7%

Text analysis

Amazon

KODEK
2EE1A