Human Generated Data

Title

Untitled (elevated view of gymnasium filled with dancing students)
Date

1950
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, 4.2002.6621

Human Generated Data

Title

Untitled (elevated view of gymnasium filled with dancing students)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6621

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99.8
Person 99.8
Person 99.6
Person 99.1
Person 98.2
Shoe 98.1
Apparel 98.1
Clothing 98.1
Footwear 98.1
Person 97.9
Person 97.6
Person 94.5
Person 93.9
Person 91.2
Person 88.5
Dance Pose 88.4
Leisure Activities 88.4
Shoe 87.5
Person 84.2
Person 82.3
Shorts 81
Person 73.8
Shoe 73.3
Bridge 73.3
Boardwalk 73.3
Building 73.3
Shoe 72.3
People 70.4
Overcoat 68.8
Suit 68.8
Coat 68.8
Person 67.9
Crowd 66.2
Shoe 64.6
Dress 63.5
Shoe 62.7
Face 62.6
Photo 62.6
Photography 62.6
Portrait 62.6
Person 60.9
Dance 58.1
Floor 56.7
Shoe 51.2

Clarifai
created on 2019-03-25

people 99.9
many 99.6
group together 99.6
group 97.2
adult 96.6
child 96.5
crowd 95
wear 94.4
woman 93.7
school 92.2
man 91.8
boy 90.6
education 90.4
dancing 87.7
music 86.3
outfit 86.2
several 85.2
recreation 82
motion 81.7
spectator 76.8

Imagga
created on 2019-03-25

athlete 35.6
people 34.5
runner 33.9
brass 31.2
group 30.6
person 29.5
men 28.3
man 27.1
sport 24.1
male 24.1
wind instrument 23.8
businessman 20.3
contestant 20
women 19.7
silhouette 18.2
business 17.6
adult 17.5
musical instrument 16.3
crowd 15.3
success 15.3
team 15.2
together 14.9
active 14.7
fun 14.2
friends 14.1
friendship 14
happy 13.8
lifestyle 13.7
competition 13.7
supporter 12.7
professional 12.7
run 12.5
human 12
exercise 11.8
ball 11.7
recreation 11.6
portrait 11.6
dance 11.4
couple 11.3
motion 11.1
teamwork 11.1
fitness 10.8
world 10.7
dancer 10.7
fashion 10.5
outdoors 10.4
boy 10.4
work 10.2
action 10.2
player 10.2
black 9.6
body 9.6
life 9.6
smiling 9.4
art 9.4
teen 9.2
leisure 9.1
dress 9
copy space 9
bugle 8.8
urban 8.7
party 8.6
baritone 8.5
casual 8.5
girls 8.2
graphic 8
game 8
holiday 7.9
design 7.9
standing 7.8
silhouettes 7.8
play 7.7
corporate 7.7
pretty 7.7
running 7.7
walking 7.6
legs 7.5
soccer ball 7.4
holding 7.4
teenager 7.3
office 7.2
celebration 7.2
activity 7.2
performer 7.1

Google
created on 2019-03-25

Photograph 97
Team 92.7
Snapshot 84.9
Black-and-white 84.2
Monochrome 74.2
Crew 72.4
Photography 70.6
Stock photography 59.4
Monochrome photography 57.8
Style 53.5
Crowd 50.7

Microsoft
created on 2019-03-25

person 99.4
outdoor 91.9
player 63.8
posing 63.5
dancing 58
ballet 44.9
team 13.3
dancer 12.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 53.9%
Happy 45.2%
Surprised 45.3%
Disgusted 45%
Calm 52.6%
Sad 46.2%
Confused 45.2%
Angry 45.5%

AWS Rekognition

Age 35-52
Gender Male, 52.4%
Angry 46%
Disgusted 45.2%
Surprised 45.4%
Sad 49.2%
Confused 45.2%
Calm 48.6%
Happy 45.4%

AWS Rekognition

Age 57-77
Gender Male, 52.7%
Disgusted 45.1%
Surprised 45.2%
Calm 51.4%
Happy 45.1%
Sad 47.3%
Confused 45.3%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 52.2%
Confused 45.2%
Happy 45.2%
Surprised 45.2%
Disgusted 45.2%
Calm 46.2%
Angry 45.4%
Sad 52.6%

AWS Rekognition

Age 45-63
Gender Male, 50%
Surprised 45.2%
Disgusted 45.1%
Calm 51.1%
Sad 47.9%
Confused 45.2%
Happy 45.2%
Angry 45.3%

AWS Rekognition

Age 57-77
Gender Female, 52.1%
Angry 45.3%
Calm 45.7%
Happy 46.6%
Surprised 45.2%
Sad 51.5%
Disgusted 45.4%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Surprised 45.1%
Angry 45.3%
Disgusted 45%
Calm 53.5%
Sad 45.7%
Confused 45.2%
Happy 45%

AWS Rekognition

Age 45-63
Gender Male, 52.6%
Calm 51.9%
Sad 47%
Confused 45.3%
Disgusted 45.1%
Angry 45.1%
Happy 45.4%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 45.2%
Disgusted 45.3%
Calm 48.9%
Surprised 45.5%
Confused 45.7%
Angry 45.9%
Sad 48.4%

AWS Rekognition

Age 14-23
Gender Female, 52.5%
Confused 45.3%
Sad 45.6%
Calm 49.9%
Happy 47.1%
Surprised 45.7%
Angry 45.6%
Disgusted 45.7%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Confused 45.8%
Angry 47%
Surprised 45.6%
Disgusted 45.1%
Calm 47.9%
Happy 45.3%
Sad 48.2%

AWS Rekognition

Age 38-59
Gender Female, 50.5%
Sad 49.7%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Calm 49.6%
Happy 49.6%
Disgusted 49.7%

AWS Rekognition

Age 35-53
Gender Female, 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.6%
Confused 49.5%
Calm 50.4%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.5%
Happy 49.7%
Sad 50%
Confused 49.5%
Disgusted 49.5%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

Age 29-45
Gender Male, 53.8%
Confused 45.3%
Sad 49%
Angry 45.6%
Happy 46%
Calm 48.7%
Disgusted 45.1%
Surprised 45.3%

AWS Rekognition

Age 29-45
Gender Female, 51.6%
Surprised 45.2%
Sad 45.9%
Disgusted 45.3%
Happy 45.3%
Confused 45.2%
Calm 52.8%
Angry 45.3%

AWS Rekognition

Age 35-53
Gender Female, 50.8%
Angry 45.5%
Surprised 45.3%
Sad 48.2%
Calm 49.3%
Confused 45.2%
Happy 46.3%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Male, 51.9%
Sad 47.6%
Surprised 45.7%
Disgusted 46.9%
Happy 45.8%
Angry 45.5%
Confused 46.7%
Calm 46.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.6%
Happy 49.6%
Sad 50.1%
Confused 49.6%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 52%
Confused 45.2%
Happy 45.1%
Angry 45.5%
Disgusted 45.1%
Sad 50.8%
Calm 48.1%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Male, 52.3%
Happy 45.9%
Sad 46.5%
Surprised 46%
Disgusted 45.6%
Angry 47.3%
Calm 46.8%
Confused 46.9%

AWS Rekognition

Age 26-44
Gender Male, 50.1%
Sad 49.7%
Confused 49.5%
Disgusted 49.6%
Calm 49.9%
Happy 49.7%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 50.1%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.7%
Angry 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Sad 49.6%
Calm 50.2%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Sad 49.9%
Happy 49.6%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.7%
Sad 49.6%
Angry 49.6%
Confused 49.5%
Surprised 49.6%
Calm 49.8%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Confused 49.5%
Calm 49.5%
Happy 49.6%
Disgusted 50.1%
Surprised 49.6%
Sad 49.5%
Angry 49.6%

AWS Rekognition

Age 15-25
Gender Male, 51%
Happy 46.4%
Angry 46%
Sad 47%
Confused 46.7%
Disgusted 45.3%
Calm 47.8%
Surprised 45.7%

AWS Rekognition

Age 35-52
Gender Female, 54.8%
Sad 47.5%
Disgusted 45.1%
Angry 45.1%
Calm 45.2%
Surprised 45.1%
Confused 45.3%
Happy 51.7%

AWS Rekognition

Age 45-63
Gender Female, 51.8%
Surprised 45.4%
Calm 45.8%
Disgusted 48.6%
Happy 45.4%
Angry 45.8%
Sad 48.5%
Confused 45.6%

AWS Rekognition

Age 35-55
Gender Female, 52%
Confused 45.1%
Happy 45.4%
Surprised 45.1%
Disgusted 45.6%
Calm 52.4%
Angry 45.4%
Sad 45.9%

Feature analysis

Amazon

Person 99.8%
Shoe 98.1%