Human Generated Data

Title

Untitled (children on stage at program for radio station WFEA)

Date

c. 1938, printed later

People

Artist: Durette Studio, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5824

Human Generated Data

Title

Untitled (children on stage at program for radio station WFEA)

People

Artist: Durette Studio, American 20th century

Date

c. 1938, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.5824

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Person 99.7
Human 99.7
Person 99.7
Person 99.5
Person 99.5
Person 99.4
Person 99.1
Clothing 99.1
Apparel 99.1
Person 98.4
Crowd 95.3
Interior Design 95.2
Indoors 95.2
Stage 94.6
Audience 87.1
Person 85.9
Leisure Activities 85
Musical Instrument 85
Guitar 85
Person 83
Musician 78.9
Room 71.3
Fashion 69.4
Theater 64.6
Music Band 64.6
Robe 64.5
Gown 62
Person 59
Hall 57.7
Auditorium 55.5

Clarifai
created on 2019-11-16

people 99.9
group together 98.7
group 98.7
adult 97.7
many 97.2
woman 97
man 95.6
wear 90.7
music 89.1
indoors 88
crowd 87
dancing 85.6
administration 84.1
musician 83.2
actress 83
outfit 82.6
military 82.1
several 81.9
recreation 81.1
child 80.1

Imagga
created on 2019-11-16

stage 44.8
platform 33.3
people 28.4
man 26.9
musician 25.8
singer 23.8
crowd 23
business 21.8
silhouette 20.7
person 18.7
men 17.2
male 17
performer 16.4
interior 15.9
group 15.3
businessman 15
lights 14.8
outfit 14.3
architecture 13.3
hall 13
design 12.9
audience 12.7
music 12.6
adult 12.6
building 12.5
city 11.6
nighttime 10.8
concert 10.7
modern 10.5
urban 10.5
standing 10.4
life 10.3
office 10.1
indoor 10
entertainer 9.8
cheering 9.8
old 9.7
stadium 9.7
band 9.7
vibrant 9.6
patriotic 9.6
nation 9.5
party 9.5
symbol 9.4
work 9.4
light 9.3
flag 9.3
bright 9.3
inside 9.2
suit 9.1
station 9
black 9
couple 8.7
room 8.3
transport 8.2
icon 7.9
indoors 7.9
women 7.9
disco 7.9
live 7.8
world 7.8
art 7.7
professional 7.7
musical 7.7
performance 7.6
classical 7.6
chair 7.6
vivid 7.4
cabaret 7.4
occupation 7.3
success 7.2
team 7.2
love 7.1
happiness 7
travel 7

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

clothing 98.6
text 96.7
woman 93.3
dance 92.4
person 91.3
man 84.8
standing 83.7
dress 79.7
footwear 74.6
people 67.3
group 59.7
posing 38.1
crowd 0.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 11-21
Gender Male, 53.2%
Calm 54.9%
Angry 45%
Disgusted 45%
Happy 45%
Sad 45.1%
Confused 45%
Fear 45%
Surprised 45%

AWS Rekognition

Age 5-15
Gender Female, 52.9%
Disgusted 45.1%
Angry 48%
Confused 45.2%
Sad 46.9%
Calm 49.5%
Happy 45.1%
Fear 45.2%
Surprised 45.1%

AWS Rekognition

Age 5-15
Gender Male, 53.6%
Fear 45.1%
Confused 45.1%
Disgusted 45.5%
Angry 45.1%
Sad 47.1%
Calm 52.1%
Happy 45%
Surprised 45%

AWS Rekognition

Age 21-33
Gender Female, 53.8%
Happy 53.9%
Disgusted 45.2%
Sad 45.1%
Angry 45.1%
Surprised 45.1%
Fear 45.1%
Calm 45.4%
Confused 45.1%

AWS Rekognition

Age 4-12
Gender Male, 50%
Fear 45.6%
Angry 45%
Calm 45%
Happy 45%
Sad 54.4%
Disgusted 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 5-15
Gender Male, 54.9%
Happy 45.1%
Fear 50.1%
Sad 45.1%
Confused 45.1%
Disgusted 45%
Angry 48.3%
Calm 45.2%
Surprised 46.1%

AWS Rekognition

Age 5-15
Gender Male, 51.2%
Happy 45.1%
Disgusted 45%
Calm 46.5%
Sad 47.5%
Surprised 45.2%
Confused 45.1%
Fear 50.5%
Angry 45.2%

AWS Rekognition

Age 3-11
Gender Male, 50.1%
Surprised 49.5%
Fear 50.1%
Happy 49.5%
Sad 49.9%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 3-9
Gender Female, 50.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.5%
Fear 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 20-32
Gender Female, 54%
Happy 46.9%
Disgusted 47.6%
Fear 45.1%
Calm 46.7%
Angry 47.8%
Confused 45.2%
Sad 45.1%
Surprised 45.5%

AWS Rekognition

Age 4-12
Gender Male, 50.4%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.1%
Fear 49.8%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 3-11
Gender Female, 50.2%
Angry 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.6%

AWS Rekognition

Age 43-61
Gender Female, 50%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Fear 50.4%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 21-33
Gender Female, 52.5%
Happy 45%
Angry 46.6%
Disgusted 45.1%
Calm 49%
Fear 45.1%
Surprised 45.1%
Confused 45.1%
Sad 48.9%

AWS Rekognition

Age 8-18
Gender Male, 50%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 49.5%
Fear 50.5%
Angry 49.5%

AWS Rekognition

Age 19-31
Gender Male, 50.2%
Fear 50.2%
Sad 49.8%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50%
Surprised 49.5%
Fear 49.7%
Angry 49.5%
Disgusted 49.5%
Sad 50.3%
Calm 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.1%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Calm 49.9%

AWS Rekognition

Age 3-11
Gender Male, 50.2%
Fear 50.1%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Confused 49.5%
Surprised 49.5%
Sad 49.7%
Calm 49.7%
Disgusted 49.5%
Happy 49.5%
Fear 49.6%
Angry 49.8%

AWS Rekognition

Age 22-34
Gender Male, 50.1%
Fear 50.1%
Sad 49.6%
Angry 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

Age 17-29
Gender Male, 50.1%
Angry 49.6%
Fear 49.8%
Confused 49.5%
Happy 49.5%
Calm 49.7%
Disgusted 49.5%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 10-20
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Fear 50.2%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.5%
Sad 49.8%

AWS Rekognition

Age 17-29
Gender Male, 50.4%
Sad 50%
Happy 49.5%
Fear 49.5%
Calm 49.9%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Surprised 49.6%
Sad 49.7%
Disgusted 49.5%
Calm 49.6%
Fear 49.9%
Angry 49.7%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 6-16
Gender Female, 50.3%
Happy 49.5%
Calm 49.5%
Fear 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50.5%

AWS Rekognition

Age 22-34
Gender Male, 50%
Calm 49.9%
Disgusted 49.6%
Sad 49.8%
Happy 49.5%
Angry 49.6%
Fear 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 13-23
Gender Female, 50.3%
Happy 49.5%
Angry 50.2%
Disgusted 49.6%
Confused 49.5%
Sad 49.5%
Calm 49.5%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 17-29
Gender Female, 50.1%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Fear 49.6%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 19-31
Gender Male, 50%
Happy 49.5%
Angry 49.5%
Fear 49.8%
Surprised 49.5%
Calm 49.5%
Sad 50.2%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50%
Calm 49.6%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.8%
Fear 49.9%

AWS Rekognition

Age 21-33
Gender Male, 50.2%
Sad 49.7%
Angry 50.1%
Happy 49.5%
Calm 49.5%
Fear 49.5%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-42
Gender Female, 50%
Fear 50.4%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Calm 49.5%
Confused 49.5%

Microsoft Cognitive Services

Age 28
Gender Female

Feature analysis

Amazon

Person 99.7%
Guitar 85%

Text analysis

Amazon

NORM
DAMY
BRLAD

Google

AMBY BREAD NORM
AMBY
BREAD
NORM