Human Generated Data

Title

Untitled (men and woman standing in line by banquet tables at Rotary event)
Date

1955-1960
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, 4.2002.11090

Human Generated Data

Title

Untitled (men and woman standing in line by banquet tables at Rotary event)

People

Artist: Claseman Studio, American 20th century

Date

1955-1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11090

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99.2
Person 99.2
Person 98.8
Person 98.8
Person 98.5
Person 97.6
Person 97.4
Chair 95.8
Furniture 95.8
Person 95.7
Person 95.1
Person 92.1
Chair 91.1
Person 90.4
Person 89.1
Chair 88.4
Person 87.9
People 86.4
Accessory 86
Accessories 86
Sunglasses 86
Person 82.4
Person 81.5
Crowd 76.8
Person 72.2
Building 71.6
Indoors 71.6
Meal 70
Food 70
Room 64.9
Apparel 64.1
Clothing 64.1
Restaurant 64.1
Cafeteria 63.4
Lamp 62.2
Chair 61.9
Person 54.6

Clarifai
created on 2019-03-25

people 99.8
group 99
many 97.9
adult 97.5
group together 97
crowd 96.2
man 95.5
woman 93.8
meeting 88.9
administration 88.4
war 88.2
military 87.3
furniture 85.8
watercraft 84.2
city 83.8
leader 82.4
room 80.4
street 78.6
monochrome 78.6
business 78.4

Imagga
created on 2019-03-25

marimba 44.3
room 40.5
percussion instrument 38
classroom 33.5
table 32.9
man 32.3
people 31.8
male 29.8
musical instrument 29
restaurant 27.4
business 27.3
businessman 26.5
person 25.4
office 24.1
adult 22.1
professional 21.2
indoors 21.1
group 21
team 19.7
colleagues 19.4
happy 19.4
desk 18.9
men 18.9
work 18.8
shop 18.6
interior 18.6
businesswoman 18.2
businesspeople 18
meeting 17.9
chair 17.1
smiling 16.6
indoor 16.4
casual 16.1
working 15.9
women 15.8
occupation 15.6
corporate 15.5
modern 15.4
teamwork 14.8
worker 14.7
education 14.7
sitting 14.6
job 14.2
lifestyle 13.7
conference 13.7
hall 13.4
computer 12.8
board 12.7
day 12.6
executive 12.4
smile 12.1
mature 12.1
mercantile establishment 12
suit 11.7
counter 11.7
color 11.7
portrait 11.6
couple 11.3
doctor 11.3
associates 10.8
40s 10.7
life 10.7
medical 10.6
cheerful 10.6
clothing 10.2
laptop 10
coworkers 9.8
looking 9.6
dining 9.5
talking 9.5
clothes 9.4
light 9.4
manager 9.3
presentation 9.3
hospital 9.3
communication 9.2
teacher 9
cafeteria 8.9
student 8.9
patient 8.8
home 8.8
discussion 8.8
expertise 8.7
barbershop 8.7
nurse 8.7
four 8.6
furniture 8.6
dinner 8.4
building 8.4
coffee 8.3
service 8.3
clinic 8.3
inside 8.3
20s 8.2
place of business 8.2
food 8
together 7.9
design 7.9
glass 7.8
class 7.7
adults 7.6
employee 7.5
horizontal 7.5
human 7.5
holding 7.4
center 7.3
success 7.2
happiness 7.1

Google
created on 2019-03-25

Photograph 96.5
Snapshot 86.1
Room 74.4
History 64.5
Stock photography 62.1

Microsoft
created on 2019-03-25

person 98.9
standing 89.8
group 84.3
people 62.3
line 35.7
several 13.9
sale 12.3
shop 10.2
black and white 3.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-65
Gender Female, 50.3%
Disgusted 45.2%
Confused 45.4%
Surprised 45.6%
Angry 45.8%
Happy 45.8%
Sad 46.4%
Calm 50.8%

AWS Rekognition

Age 35-52
Gender Female, 50.9%
Angry 45.8%
Disgusted 46.3%
Confused 45.5%
Surprised 45.8%
Sad 46.9%
Happy 47.5%
Calm 47.2%

AWS Rekognition

Age 10-15
Gender Female, 53.4%
Confused 45.4%
Happy 45.2%
Surprised 45.6%
Disgusted 45.2%
Calm 51.8%
Angry 45.4%
Sad 46.4%

AWS Rekognition

Age 23-38
Gender Male, 51.4%
Sad 46.7%
Angry 45.3%
Surprised 45.4%
Happy 45.1%
Calm 51.1%
Confused 45.8%
Disgusted 45.5%

AWS Rekognition

Age 19-36
Gender Female, 54%
Angry 45.6%
Happy 45.9%
Sad 49.6%
Confused 46.2%
Disgusted 45.5%
Surprised 45.8%
Calm 46.5%

AWS Rekognition

Age 45-65
Gender Male, 53.9%
Surprised 45.1%
Angry 45.2%
Disgusted 45.1%
Calm 54.1%
Sad 45.2%
Confused 45.1%
Happy 45.2%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 50.2%
Angry 49.5%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 51.4%
Happy 47.1%
Angry 46.1%
Sad 47.4%
Confused 45.7%
Disgusted 45.7%
Calm 47.5%
Surprised 45.6%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.5%
Calm 50.1%
Disgusted 49.6%
Sad 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Calm 49.7%
Sad 50.1%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50.3%
Angry 49.6%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.5%
Angry 49.5%
Disgusted 49.7%
Happy 49.5%
Sad 50.1%
Confused 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 50%
Surprised 49.6%
Confused 49.5%
Calm 49.7%
Happy 49.6%
Angry 49.6%
Sad 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.5%
Disgusted 49.5%
Sad 50.3%
Surprised 49.6%
Happy 49.5%
Calm 49.6%
Confused 49.6%

Feature analysis

Amazon

Person 99.2%
Chair 95.8%
Sunglasses 86%