Human Generated Data

Title

Untitled (men wearing shriner hats posed sitting at long banquet table in restaurant)
Date

1957
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, 4.2002.6600

Human Generated Data

Title

Untitled (men wearing shriner hats posed sitting at long banquet table in restaurant)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1957

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6600

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Human 99.4
Person 99.4
Person 99.4
Person 97.9
Person 97.8
Person 95.1
Room 94.3
Indoors 94.3
Crowd 90.2
Person 90.2
Chair 89.2
Furniture 89.2
Restaurant 87.5
Person 83.2
Person 81.5
Interior Design 80.5
Table 78.8
School 78.4
Classroom 78.4
Person 78.2
Apparel 77.4
Clothing 77.4
Cafeteria 73
People 71.4
Person 64.5
Person 63.3
Food 62.7
Meal 62.7
Audience 62.7
Person 61.4
Workshop 59.6
Sitting 57.9
Person 53

Clarifai
created on 2019-03-26

people 99.6
group together 98.9
many 98.9
group 98.2
administration 97.6
leader 96.2
adult 94.9
chair 94.3
vehicle 93
man 92.9
crowd 89.6
military 88.7
furniture 88.4
woman 87.8
room 87
war 86.7
education 84.3
audience 84.1
aircraft 82.4
several 80.2

Imagga
created on 2019-03-26

room 40.6
classroom 34
office 31.6
table 31
business 28.5
man 26.9
businessman 26.5
people 26.2
computer 24.9
laptop 24
male 22
person 21.8
group 21.8
center 21.2
interior 21.2
work 21.2
corporate 20.6
chair 20
blackboard 19
modern 18.9
professional 18.5
teacher 18.1
meeting 17.9
desk 17.9
job 17.7
indoors 17.6
education 17.3
restaurant 17.1
hall 16.9
adult 16.9
executive 16.6
indoor 15.5
men 15.5
businesswoman 15.4
communication 15.1
working 15
smiling 13.7
sitting 13.7
team 13.4
manager 13
success 12.9
occupation 12.8
class 12.5
worker 12.5
businesspeople 12.3
student 12.2
teamwork 12
board 11.8
equipment 11.6
monitor 11.5
happy 11.3
women 11.1
conference 10.7
teaching 10.7
design 10.7
technology 10.4
coffee 10.2
cafeteria 10.1
glass 10.1
hand 9.9
discussion 9.7
presentation 9.3
smile 9.3
bar 9.2
furniture 9.2
confident 9.1
portrait 9.1
students 8.8
lifestyle 8.7
adults 8.5
learning 8.5
finance 8.4
study 8.4
inside 8.3
stage 8.3
successful 8.2
suit 8.1
school 8.1
building 7.9
mathematics 7.8
standing 7.8
colleagues 7.8
employee 7.7
corporation 7.7
studying 7.7
dinner 7.6
career 7.6
house 7.5
wood 7.5
television 7.5
row 7.5
company 7.4
service 7.4
light 7.4
cheerful 7.3
to 7.1
decor 7.1
seat 7

Google
created on 2019-03-26

Photograph 96.6
Snapshot 87.3
Black-and-white 78.1
Room 78
Photography 67.8
Team 64.1
Crew 61.7
Class 54.5
Monochrome 54.4

Microsoft
created on 2019-03-26

black 79.5
white 70
old 43
person 43
black and white 34.9
classroom 22.8
music 20
competition 19.7
library 12.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 52.8%
Sad 47.2%
Confused 45.2%
Disgusted 45.4%
Calm 49.6%
Happy 46.9%
Angry 45.3%
Surprised 45.3%

AWS Rekognition

Age 14-25
Gender Female, 50%
Angry 45.5%
Calm 50.3%
Sad 46.5%
Surprised 45.4%
Confused 45.3%
Disgusted 45.1%
Happy 46.9%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Happy 45.3%
Calm 50.8%
Sad 47.9%
Angry 45.3%
Confused 45.3%
Surprised 45.2%
Disgusted 45.1%

AWS Rekognition

Age 35-55
Gender Male, 54.9%
Angry 45.4%
Calm 47.1%
Happy 51.2%
Surprised 45.3%
Sad 45.8%
Disgusted 45.1%
Confused 45.2%

AWS Rekognition

Age 19-36
Gender Male, 53.6%
Calm 49.4%
Surprised 45.2%
Happy 45.4%
Confused 45.1%
Disgusted 45.1%
Sad 47.3%
Angry 47.6%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Angry 45.6%
Surprised 45.8%
Sad 45.6%
Calm 52.3%
Confused 45.2%
Happy 45.4%
Disgusted 45.1%

AWS Rekognition

Age 15-25
Gender Male, 54.6%
Sad 46.2%
Disgusted 45.2%
Happy 46.1%
Angry 45.4%
Confused 45.4%
Calm 51.2%
Surprised 45.4%

AWS Rekognition

Age 14-23
Gender Male, 54.3%
Angry 45.4%
Disgusted 45.1%
Calm 51.7%
Sad 46%
Surprised 45.2%
Confused 45.2%
Happy 46.4%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Confused 45.1%
Angry 45.1%
Surprised 45.1%
Happy 47.6%
Calm 50.1%
Disgusted 45.1%
Sad 46.9%

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Angry 47.2%
Surprised 45.4%
Sad 47.7%
Calm 49%
Confused 45.4%
Happy 45.2%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Surprised 45.4%
Angry 45.9%
Disgusted 45.3%
Happy 45.2%
Sad 50.5%
Confused 45.8%
Calm 47%

AWS Rekognition

Age 26-43
Gender Female, 50.9%
Angry 45.4%
Sad 46%
Surprised 45.1%
Confused 45.1%
Calm 53.2%
Happy 45.2%
Disgusted 45%

AWS Rekognition

Age 35-55
Gender Male, 50.2%
Disgusted 45.4%
Calm 53.8%
Confused 45.1%
Sad 45.3%
Happy 45.2%
Surprised 45.1%
Angry 45.1%

AWS Rekognition

Age 45-63
Gender Female, 54.4%
Disgusted 45.1%
Happy 45.1%
Surprised 45.1%
Angry 45.2%
Sad 54.1%
Confused 45.1%
Calm 45.3%

AWS Rekognition

Age 20-38
Gender Female, 54.2%
Happy 45.7%
Calm 48.6%
Sad 46.9%
Angry 45.9%
Confused 46.2%
Surprised 46%
Disgusted 45.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 45.3%
Surprised 45.3%
Sad 50%
Disgusted 45.1%
Happy 46%
Calm 48.1%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Male, 50.7%
Disgusted 45.1%
Surprised 45.7%
Calm 49.1%
Sad 47.9%
Angry 46.2%
Confused 45.4%
Happy 45.7%

AWS Rekognition

Age 35-52
Gender Male, 50%
Angry 45.5%
Sad 52.8%
Surprised 45.2%
Confused 45.2%
Calm 45.5%
Happy 45.6%
Disgusted 45.3%

AWS Rekognition

Age 45-63
Gender Male, 50%
Angry 49.5%
Happy 49.7%
Disgusted 49.5%
Sad 49.6%
Calm 50.1%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.6%
Surprised 49.5%
Calm 49.7%
Happy 49.7%
Sad 49.8%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Happy 49.5%
Calm 50.3%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Sad 49.8%
Confused 49.6%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Calm 50%

AWS Rekognition

Age 26-43
Gender Male, 51.2%
Calm 50.3%
Disgusted 45.2%
Sad 46.6%
Confused 45.8%
Happy 45.2%
Surprised 46.1%
Angry 45.8%

Feature analysis

Amazon

Person 99.4%
Chair 89.2%

Text analysis

Amazon

RIRA
KODVK