Human Generated Data

Title

Untitled (children's pageant, cast on stage)

Date

March 11, 1954

People

Artist: Francis J. Sullivan, American 1916 - 1996

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18042

Human Generated Data

Title

Untitled (children's pageant, cast on stage)

People

Artist: Francis J. Sullivan, American 1916 - 1996

Date

March 11, 1954

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-03-04

Person 99.1
Human 99.1
Person 98.8
Person 98.4
Person 98.1
Audience 97.9
Crowd 97.9
Person 97.6
Person 97
Indoors 95.2
Interior Design 95.2
Chair 94.5
Furniture 94.5
Clothing 93.3
Apparel 93.3
Person 93.1
Room 89.3
Dress 84.6
Person 81.4
Face 81
Overcoat 78.7
Suit 78.7
Coat 78.7
Classroom 76.7
School 76.7
Female 75.4
People 75.3
Shorts 71.6
Kid 71.6
Child 71.6
Stage 71.3
Person 67.7
Portrait 67.5
Photography 67.5
Photo 67.5
Floor 65.9
Person 65.4
Girl 63
Leisure Activities 59.9
Party 57.6
Hall 57.5
Auditorium 56.2
Theater 56.2
Play 56.2
Speech 56
Seminar 56
Lecture 56
Sailor Suit 55.5
Woman 55.4
Person 52.9
Person 47.9

Imagga
created on 2022-03-04

hall 47.3
crowd 40.3
people 35.7
group 30.6
stage 30.3
silhouette 26.5
person 26.2
men 20.6
event 19.4
platform 19
audience 18.5
male 17.7
spectator 17.7
man 17.5
women 17.4
business 16.4
student 16
concert 15.5
classroom 14.6
room 14.2
cheering 13.7
team 13.4
teamwork 13
design 12.9
stadium 12.9
success 12.9
competition 12.8
flag 12.7
city 12.5
lights 12
sport 11.8
businessman 11.5
training 11.1
music 10.8
nighttime 10.8
adult 10.5
patriotic 10.5
vibrant 10.5
athlete 10.4
nation 10.4
icon 10.3
versus 9.9
championship 9.7
fight 9.7
match 9.6
skill 9.6
muscular 9.5
walking 9.5
party 9.5
teacher 9.4
happy 9.4
vivid 9.3
world 9.1
businesswoman 9.1
office 9
human 9
stab 8.9
fencing 8.9
technique 8.8
professional 8.8
sword 8.8
building 8.8
symbol 8.7
blade 8.7
weapon 8.7
gear 8.7
education 8.6
corporate 8.6
dangerous 8.6
sharp 8.6
outline 8.5
enrollee 8.5
friends 8.4
travel 8.4
black 8.4
modern 8.4
protection 8.2
water 8
job 8
center 7.9
bright 7.9
urban 7.9
work 7.8
hands 7.8
silhouettes 7.8
motion 7.7
dance 7.7
females 7.6
manager 7.4
many 7.4
celebration 7.2

Google
created on 2022-03-04

Black-and-white 82.9
Suit 79.5
Font 78.7
Event 73.1
Crew 70.5
Room 70.2
Monochrome photography 70.2
Monochrome 68.8
Team 68.6
Vintage clothing 68.5
History 64.1
Crowd 61.1
Art 58.1
Photo caption 53
Child 50.6

Microsoft
created on 2022-03-04

person 99.3
clothing 96.9
man 95.6
text 85.9
people 82.2
group 76.8
crowd 75.7
white 73.1
black 68.5

Face analysis

Amazon

Google

AWS Rekognition

Age 19-27
Gender Female, 67.8%
Sad 85.5%
Calm 8.6%
Happy 1.4%
Fear 1.3%
Disgusted 1.1%
Angry 1%
Surprised 0.6%
Confused 0.5%

AWS Rekognition

Age 23-33
Gender Male, 73.2%
Sad 83.6%
Calm 11.7%
Confused 1.7%
Surprised 1.1%
Disgusted 0.5%
Happy 0.5%
Fear 0.5%
Angry 0.4%

AWS Rekognition

Age 43-51
Gender Female, 61.4%
Calm 93.4%
Sad 3.1%
Happy 2.1%
Fear 0.4%
Disgusted 0.4%
Surprised 0.2%
Confused 0.2%
Angry 0.2%

AWS Rekognition

Age 43-51
Gender Male, 94%
Sad 86.3%
Calm 12.2%
Confused 0.8%
Fear 0.2%
Angry 0.2%
Disgusted 0.1%
Happy 0.1%
Surprised 0.1%

AWS Rekognition

Age 19-27
Gender Male, 96.7%
Calm 91.9%
Sad 6.8%
Happy 0.8%
Confused 0.1%
Angry 0.1%
Surprised 0.1%
Disgusted 0.1%
Fear 0.1%

AWS Rekognition

Age 25-35
Gender Male, 98.9%
Calm 56.4%
Angry 15.4%
Sad 8.7%
Happy 7.7%
Disgusted 4.1%
Surprised 3.3%
Fear 2.7%
Confused 1.8%

AWS Rekognition

Age 26-36
Gender Male, 97.1%
Calm 98.1%
Sad 0.7%
Angry 0.6%
Fear 0.2%
Confused 0.1%
Happy 0.1%
Disgusted 0.1%
Surprised 0.1%

AWS Rekognition

Age 21-29
Gender Male, 82.3%
Calm 95.6%
Sad 1.6%
Surprised 0.7%
Fear 0.6%
Happy 0.5%
Angry 0.5%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 21-29
Gender Male, 97.3%
Calm 88.6%
Sad 5.2%
Happy 3.8%
Angry 1%
Surprised 0.4%
Fear 0.3%
Confused 0.3%
Disgusted 0.3%

AWS Rekognition

Age 21-29
Gender Male, 91.4%
Calm 77.3%
Sad 16.2%
Angry 2.1%
Confused 1.2%
Surprised 1%
Disgusted 0.9%
Happy 0.7%
Fear 0.6%

AWS Rekognition

Age 25-35
Gender Female, 96.6%
Sad 50.1%
Calm 31.6%
Confused 5.8%
Happy 5.8%
Disgusted 2.5%
Angry 2.3%
Fear 1.1%
Surprised 0.9%

AWS Rekognition

Age 23-31
Gender Female, 73.9%
Calm 43.8%
Sad 15.7%
Fear 15.5%
Happy 11.4%
Angry 4.7%
Surprised 4.6%
Disgusted 2.8%
Confused 1.6%

AWS Rekognition

Age 23-31
Gender Male, 82.6%
Calm 67.2%
Sad 10.9%
Happy 6.5%
Disgusted 4.8%
Confused 4.7%
Angry 2.8%
Surprised 2.1%
Fear 1%

AWS Rekognition

Age 36-44
Gender Male, 99.9%
Calm 71.3%
Happy 18.4%
Surprised 4.1%
Sad 3.5%
Disgusted 1.1%
Angry 0.8%
Fear 0.5%
Confused 0.4%

AWS Rekognition

Age 18-24
Gender Male, 96.7%
Calm 94.4%
Happy 1.8%
Sad 1.3%
Confused 0.6%
Surprised 0.6%
Disgusted 0.5%
Angry 0.5%
Fear 0.4%

AWS Rekognition

Age 25-35
Gender Male, 95.7%
Disgusted 78.5%
Sad 6.1%
Angry 4.6%
Surprised 3.5%
Confused 2.9%
Fear 2.5%
Calm 1.1%
Happy 0.8%

Google Vision

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

Feature analysis

Amazon

Person 99.1%

Captions

Microsoft

a group of people standing in front of a crowd 95.7%
a group of people standing in front of a crowd of people 94.9%
a group of people standing in a crowd 93.7%

Text analysis

Amazon

What
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What Lied to
Lied