Human Generated Data

Title

Untitled (group portrait of young women in future homemakers' club)
Date

1961
People

Artist: Claseman 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, 4.2002.11022

Human Generated Data

Title

Untitled (group portrait of young women in future homemakers' club)

People

Artist: Claseman Studio, American 20th century

Date

1961

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11022

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99
Person 99
Person 98.7
Person 98.6
Person 98.1
Person 97.8
Person 93.6
Person 92.8
School 86.4
Room 86.4
Classroom 86.4
Indoors 86.4
Interior Design 83.6
Crowd 79.5
Audience 79.5
Person 78.6
Person 77.4
Person 72.7
Face 69
Building 68.5
Architecture 68.5
Church 68.5
Furniture 66
People 64.2
Female 63.2
Stage 59.1
Child 58.5
Kid 58.5
Apparel 58.4
Clothing 58.4
Table 58.3
Altar 57.9
Overcoat 57.4
Coat 57.4
Suit 57.4
Bed 57.2
Person 57.1
Person 47.8

Clarifai
created on 2019-03-25

people 99.9
group 99.4
group together 98.5
man 98
many 97.8
meeting 97.6
chair 97.2
leader 97
adult 95.5
crowd 94.8
woman 94.5
audience 94.4
room 93.3
league 92.8
stage 92
child 91.5
education 89.8
television 89.8
music 89.3
class 88

Imagga
created on 2019-03-25

room 41.9
classroom 38.4
people 32.9
group 31.4
man 29.9
male 26.2
person 25.5
business 24.3
laptop 23.8
businessman 22.9
men 22.3
computer 21.1
blackboard 20.3
professional 19.8
sitting 19.7
adult 18.4
team 17
happy 16.9
cinema 16.7
smiling 16.6
looking 16
women 15.8
indoors 15.8
home 15.1
office 14.8
sofa 14.7
smile 14.2
work 14.1
student 14
businesswoman 13.6
theater 13.5
meeting 13.2
couch 12.5
lifestyle 12.3
cheerful 12.2
party 12
corporate 12
building 12
theater curtain 12
chair 11.7
job 11.5
interior 11.5
together 11.4
executive 11.3
desk 11.3
couple 11.3
boy 11.3
education 11.2
modern 11.2
communication 10.9
house 10.8
suit 10.8
curtain 10.5
fun 10.5
success 10.4
hall 10.4
businesspeople 10.4
adults 10.4
manager 10.2
teamwork 10.2
happiness 10.2
entertainment 10.1
indoor 10
confident 10
leisure 10
black 9.7
technology 9.6
table 9.6
crowd 9.6
career 9.5
teacher 9.4
youth 9.4
handsome 8.9
working 8.8
workers 8.7
hands 8.7
employee 8.6
tie 8.5
friends 8.4
portrait 8.4
joy 8.3
inside 8.3
human 8.2
music 8.1
furniture 8
worker 8
concert 7.8
pretty 7.7
attractive 7.7
structure 7.6
hand 7.6
living 7.6
relax 7.6
silhouette 7.4
spectator 7.4
successful 7.3
blind 7.2
night 7.1

Google
created on 2019-03-25

Photograph 95.9
Team 70.5
Room 65.7
Photography 62.4
Crew 58.7
Table 58.6
Black-and-white 56.4

Microsoft
created on 2019-03-25

person 11.5
music 8.8
black and white 4.5
concert 4.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 53.1%
Happy 45.6%
Calm 45.9%
Angry 45.2%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Sad 52.9%

AWS Rekognition

Age 38-59
Gender Female, 52.3%
Disgusted 45.2%
Surprised 45.1%
Confused 45.2%
Calm 45.3%
Happy 45.2%
Angry 45.4%
Sad 53.6%

AWS Rekognition

Age 45-66
Gender Female, 53%
Happy 45.4%
Surprised 45.6%
Sad 48.3%
Confused 45.9%
Angry 45.5%
Disgusted 46.9%
Calm 47.4%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 45.4%
Surprised 45.2%
Sad 48.4%
Calm 49.8%
Confused 45.2%
Happy 45.5%
Disgusted 45.5%

AWS Rekognition

Age 29-45
Gender Female, 52.2%
Confused 45.2%
Angry 45.3%
Surprised 45.2%
Sad 53.5%
Happy 45.3%
Calm 45.3%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Sad 52.8%
Calm 45.5%
Happy 45.5%
Surprised 45.2%
Disgusted 45.3%
Confused 45.2%
Angry 45.6%

AWS Rekognition

Age 20-38
Gender Female, 51.2%
Angry 45.5%
Sad 51.2%
Surprised 45.3%
Confused 45.2%
Calm 47.6%
Happy 45.1%
Disgusted 45.1%

AWS Rekognition

Age 38-57
Gender Male, 54%
Disgusted 45.1%
Happy 45.4%
Confused 45.1%
Sad 46%
Surprised 45.1%
Calm 53.1%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 45.4%
Calm 54%
Happy 45.2%
Surprised 45.1%
Angry 45.1%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Surprised 45.1%
Disgusted 45.2%
Calm 47.6%
Sad 51.4%
Confused 45.1%
Happy 45.4%
Angry 45.2%

AWS Rekognition

Age 48-68
Gender Female, 51.5%
Calm 47.7%
Sad 47.8%
Confused 45.3%
Disgusted 45.7%
Angry 45.5%
Happy 47.5%
Surprised 45.4%

AWS Rekognition

Age 14-23
Gender Male, 53.1%
Calm 45.9%
Sad 52.7%
Disgusted 45.2%
Happy 45.1%
Confused 45.5%
Angry 45.3%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Female, 53.3%
Surprised 45.4%
Angry 45.4%
Sad 50.9%
Calm 46.6%
Happy 45.8%
Confused 45.3%
Disgusted 45.5%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Angry 45.3%
Sad 45.5%
Surprised 45.2%
Confused 45.1%
Calm 50.9%
Happy 47.7%
Disgusted 45.3%

AWS Rekognition

Age 19-36
Gender Female, 52.2%
Calm 45.1%
Sad 54.5%
Surprised 45%
Confused 45.1%
Happy 45.2%
Angry 45.1%
Disgusted 45%

AWS Rekognition

Age 20-38
Gender Female, 53.2%
Disgusted 45.2%
Confused 45.1%
Sad 45.7%
Happy 51.6%
Surprised 45.2%
Calm 46.9%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Female, 54.2%
Angry 45.3%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Sad 53.6%
Happy 45.1%
Calm 45.7%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Angry 45.3%
Sad 47.8%
Happy 48.1%
Calm 47.5%
Surprised 45.4%
Confused 45.6%
Disgusted 45.3%

AWS Rekognition

Age 38-57
Gender Female, 53%
Happy 45.1%
Disgusted 45.1%
Calm 46.9%
Sad 51.5%
Surprised 45.3%
Confused 45.7%
Angry 45.4%

AWS Rekognition

Age 23-38
Gender Female, 54.3%
Sad 46.1%
Disgusted 45.1%
Happy 45.3%
Calm 53%
Angry 45.2%
Confused 45.2%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Female, 51.5%
Happy 45.9%
Disgusted 45.2%
Confused 45.2%
Surprised 45.3%
Calm 52.4%
Sad 45.8%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51%
Confused 45.2%
Angry 45.3%
Surprised 45.3%
Disgusted 45.2%
Calm 49.9%
Happy 48.5%
Sad 45.6%

AWS Rekognition

Age 48-68
Gender Male, 52%
Angry 45.6%
Disgusted 45.1%
Sad 45.7%
Surprised 45.5%
Happy 45.7%
Calm 51.8%
Confused 45.5%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Sad 45.9%
Confused 45.4%
Happy 45.3%
Angry 45.3%
Calm 52.9%
Disgusted 45.1%
Surprised 45.2%

AWS Rekognition

Age 15-25
Gender Male, 50%
Happy 45%
Sad 54.6%
Confused 45.1%
Angry 45.1%
Disgusted 45%
Calm 45%
Surprised 45%

AWS Rekognition

Age 45-66
Gender Female, 52.5%
Confused 45.3%
Surprised 45.4%
Sad 46.6%
Disgusted 45.4%
Happy 48.8%
Calm 47.9%
Angry 45.5%

AWS Rekognition

Age 35-52
Gender Female, 54%
Happy 45.3%
Disgusted 45.1%
Sad 53.8%
Angry 45.2%
Confused 45.1%
Surprised 45.1%
Calm 45.3%

AWS Rekognition

Age 35-52
Gender Female, 53.4%
Happy 45.8%
Surprised 45.3%
Disgusted 45.3%
Calm 45.6%
Sad 52.5%
Confused 45.2%
Angry 45.4%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Surprised 45.8%
Disgusted 46.9%
Calm 49.2%
Sad 46%
Confused 45.2%
Happy 45.4%
Angry 46.4%

AWS Rekognition

Age 57-77
Gender Female, 51.4%
Sad 49.1%
Surprised 45.2%
Calm 49.5%
Confused 45.4%
Happy 45.2%
Disgusted 45.2%
Angry 45.4%

AWS Rekognition

Age 35-52
Gender Male, 51.5%
Surprised 45.4%
Angry 45.4%
Sad 45.3%
Calm 52.5%
Happy 46%
Confused 45.2%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Female, 52.4%
Happy 45.1%
Disgusted 45%
Calm 45.2%
Surprised 45%
Confused 45%
Angry 45.1%
Sad 54.6%

AWS Rekognition

Age 35-52
Gender Male, 52.3%
Sad 45.9%
Disgusted 45.3%
Calm 47.8%
Happy 46.3%
Confused 46.1%
Surprised 47.7%
Angry 45.9%

AWS Rekognition

Age 29-45
Gender Male, 51.7%
Disgusted 45.1%
Confused 45.1%
Surprised 45.2%
Angry 45.2%
Happy 45.2%
Sad 48.1%
Calm 51.2%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Confused 45.3%
Sad 45.9%
Calm 51.8%
Happy 45.9%
Surprised 45.4%
Angry 45.4%
Disgusted 45.3%

AWS Rekognition

Age 35-55
Gender Male, 52.7%
Sad 46.4%
Calm 45.3%
Disgusted 45.3%
Happy 52.1%
Angry 45.5%
Surprised 45.2%
Confused 45.2%

AWS Rekognition

Age 38-57
Gender Male, 53.2%
Happy 45.4%
Disgusted 45.5%
Confused 45.3%
Surprised 45.3%
Calm 51.8%
Sad 46.3%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 45.6%
Sad 47.4%
Angry 45.3%
Happy 45.9%
Calm 50.3%
Disgusted 45.1%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Female, 52.2%
Angry 45.4%
Calm 50.8%
Happy 45.2%
Surprised 45.6%
Sad 47.1%
Disgusted 45.2%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Angry 45.7%
Surprised 45.3%
Sad 46.3%
Calm 49.5%
Confused 45.6%
Happy 47.2%
Disgusted 45.4%

AWS Rekognition

Age 23-38
Gender Female, 54.5%
Disgusted 45.5%
Calm 48%
Sad 48.3%
Confused 45.8%
Happy 46.3%
Surprised 45.4%
Angry 45.6%

AWS Rekognition

Age 49-69
Gender Male, 51.3%
Confused 45.1%
Angry 45.1%
Surprised 45.1%
Happy 47.1%
Calm 52.3%
Disgusted 45.1%
Sad 45.3%

AWS Rekognition

Age 26-43
Gender Male, 53%
Happy 46.7%
Sad 47.3%
Angry 45.7%
Disgusted 45.7%
Surprised 45.6%
Calm 48.8%
Confused 45.3%

AWS Rekognition

Age 9-14
Gender Female, 50.7%
Calm 54.2%
Happy 45.1%
Sad 45.4%
Angry 45.1%
Disgusted 45%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Sad 45.9%
Happy 46%
Confused 45.2%
Surprised 45.2%
Disgusted 45.1%
Calm 52.3%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Female, 53.9%
Confused 45.8%
Surprised 45.2%
Sad 52.5%
Disgusted 45.7%
Happy 45.3%
Calm 45.3%
Angry 45.3%

AWS Rekognition

Age 38-59
Gender Female, 52.4%
Sad 45.1%
Confused 45%
Angry 45.1%
Surprised 45%
Calm 45.1%
Disgusted 54.6%
Happy 45%

AWS Rekognition

Age 38-57
Gender Female, 50.2%
Surprised 45.2%
Disgusted 45.2%
Calm 46.1%
Sad 52.5%
Confused 45.4%
Happy 45.4%
Angry 45.4%

Feature analysis

Amazon

Person 99%