Human Generated Data

Title

Untitled (men and women sitting at banquet table during 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, 4.2002.11091

Human Generated Data

Title

Untitled (men and women sitting at banquet table during 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, 4.2002.11091

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99
Person 99
Person 98.3
Person 97.4
Person 93.5
Person 90.2
Person 88
Person 78.6
Person 76.4
Crowd 75.1
Building 72.7
Apparel 64.7
Clothing 64.7
Person 64.2
Accessories 63.9
Accessory 63.9
Sunglasses 63.9
Person 61.1
Person 60.6
Scientist 55.7
Person 53.2
Person 50
Person 42

Clarifai
created on 2019-03-25

people 99.9
group 99.5
group together 99.3
man 98
many 97.5
adult 97.3
leader 95.1
woman 94.2
administration 94.1
furniture 93.6
chair 91.4
room 89.3
audience 89.1
meeting 89
war 88.9
education 87.4
league 87
sit 86.3
sitting 85.4
crowd 84

Imagga
created on 2019-03-25

man 39.6
male 36.2
businessman 35.3
people 35.1
executive 34.7
person 34.6
business 32.2
room 29.2
office 29.2
meeting 26.4
adult 26
group 25.8
men 24
businesspeople 23.7
classroom 22.9
businesswoman 22.7
senior 21.5
team 20.6
colleagues 20.4
happy 20
desk 19.8
sitting 19.7
corporate 18.9
together 18.4
couple 18.3
table 18.2
indoors 17.6
laptop 16.9
work 16.5
smiling 15.9
brass 14.6
indoor 14.6
entrepreneur 14.2
coworkers 13.7
wind instrument 13.7
conference 13.7
looking 13.6
portrait 13.6
modern 13.3
planner 13.3
job 13.3
teacher 13.2
hall 13
mature 13
teamwork 13
computer 12.9
professional 12.5
working 12.4
talking 12.4
smile 12.1
manager 12.1
home 12
women 11.9
casual 11.9
old 11.8
horizontal 11.7
discussion 11.7
blackboard 11.5
cheerful 11.4
associates 10.8
worker 10.7
40s 10.7
elderly 10.5
success 10.5
20s 10.1
communication 10.1
successful 10.1
suit 10.1
handsome 9.8
corporation 9.6
30s 9.6
education 9.5
happiness 9.4
lifestyle 9.4
finance 9.3
black 9
businessmen 8.8
musical instrument 8.6
student 8.6
face 8.5
career 8.5
company 8.4
confident 8.2
board 8.1
new 8.1
collaboration 7.9
explaining 7.9
hands 7.8
60s 7.8
color 7.8
retired 7.8
mid adult 7.7
class 7.7
busy 7.7
chair 7.7
retirement 7.7
four 7.7
center 7.6
plan 7.6
human 7.5
clothing 7.5
presentation 7.4
holding 7.4
spectator 7.4
inside 7.4
sax 7.4
interior 7.1

Google
created on 2019-03-25

Microsoft
created on 2019-03-25

window 90.2
person 90.2
black and white 40.2
music 27.9
ballet 23.3
winter 22.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 77.6%
Happy 8%
Disgusted 14.1%
Calm 55.2%
Sad 7.4%
Surprised 5.7%
Confused 5.2%
Angry 4.4%

AWS Rekognition

Age 48-68
Gender Male, 99.2%
Sad 5.9%
Calm 70.4%
Happy 10.3%
Surprised 3.3%
Angry 3.4%
Disgusted 3.5%
Confused 3.1%

AWS Rekognition

Age 20-38
Gender Male, 52.1%
Angry 45.3%
Disgusted 45.1%
Confused 45.1%
Surprised 45.5%
Sad 45.4%
Happy 52.6%
Calm 46.1%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 45.1%
Surprised 45.1%
Sad 45.3%
Calm 54.3%
Confused 45.1%
Happy 45.1%
Disgusted 45%

AWS Rekognition

Age 45-63
Gender Female, 54.7%
Sad 50.3%
Surprised 45.6%
Calm 46.7%
Confused 46%
Happy 45.2%
Disgusted 45.6%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Calm 48.7%
Sad 45.3%
Disgusted 45.2%
Happy 50.3%
Confused 45.1%
Angry 45.2%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Angry 45.2%
Happy 45.4%
Sad 45.7%
Confused 45.1%
Disgusted 45%
Surprised 45.1%
Calm 53.4%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Disgusted 45.3%
Confused 45.4%
Surprised 45.4%
Angry 45.8%
Happy 46%
Sad 50.2%
Calm 46.9%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Surprised 45.4%
Disgusted 45.2%
Calm 48.1%
Sad 48.9%
Confused 45.5%
Happy 45.5%
Angry 46.4%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Sad 45.7%
Disgusted 45.3%
Happy 46.8%
Calm 50%
Angry 45.3%
Confused 46%
Surprised 45.9%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Happy 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 50.4%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Female, 51.7%
Calm 51.3%
Sad 47.2%
Confused 45.4%
Disgusted 45.2%
Angry 45.2%
Happy 45.3%
Surprised 45.3%

AWS Rekognition

Age 35-53
Gender Female, 51.1%
Sad 48.3%
Angry 45.4%
Surprised 45.6%
Happy 48%
Calm 47.3%
Confused 45.3%
Disgusted 45.1%

Feature analysis

Amazon

Person 99%
Sunglasses 63.9%

Text analysis

Amazon

WEICONE
ME--YI33402--AGOY