Human Generated Data

Title

Untitled (large group portrait of restaurant employees posed around restaurant counter)
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, 4.2002.6607

Human Generated Data

Title

Untitled (large group portrait of restaurant employees posed around restaurant counter)

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, 4.2002.6607

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Chair 99.9
Furniture 99.9
Chair 99.8
Indoors 99.2
School 99.2
Classroom 99.2
Room 99.2
Person 98
Human 98
Person 97.8
Chair 96.9
Person 95.6
Person 95
Restaurant 94.7
Person 93.8
Cafeteria 91.7
Person 76.6
Chair 75.2
Person 74.9
Person 62.5
Interior Design 56.6
Person 53.4
Person 52.8
Chair 50.1
Person 49.8
Person 42.8

Clarifai
created on 2019-03-26

people 99.6
many 99.4
furniture 98.8
group together 98.1
group 98.1
chair 97.7
classroom 97
room 96.8
seat 96.1
education 96
adult 96
administration 95.9
leader 94.6
man 93.3
desk 92.5
indoors 91.9
school 91.4
woman 90.2
teacher 89.7
league 88.4

Imagga
created on 2019-03-26

classroom 100
room 98.3
hall 47.5
table 39
interior 35.4
chair 32.2
restaurant 31.5
center 27.9
modern 27.4
furniture 21.9
people 20.1
design 19.7
indoors 19.3
office 18.6
dining 18.1
empty 18.1
group 16.9
man 16.8
house 16.7
person 16.1
floor 15.8
chairs 15.7
counter 15.7
business 15.2
bar 14.8
seat 14.5
work 14.1
education 13.9
tables 13.8
teacher 13.7
indoor 13.7
male 13.5
kitchen 13.4
men 12.9
stool 12.8
dinner 12.6
wood 12.5
decor 12.4
meeting 12.3
food 12.1
party 12
drink 11.7
glass 11.7
professional 11.6
class 11.6
comfortable 11.5
desk 11.3
coffee 11.1
board 10.9
light 10.7
cafeteria 10.6
businessman 10.6
style 10.4
home 10.4
contemporary 10.4
luxury 10.3
lights 10.2
smiling 10.1
elegance 10.1
window 10.1
school 9.9
night 9.8
student 9.7
building 9.6
lamp 9.5
women 9.5
blackboard 9.4
decoration 9.4
architecture 9.4
inside 9.2
occupation 9.2
success 8.9
computer 8.8
conference 8.8
students 8.8
teaching 8.8
lifestyle 8.7
sitting 8.6
teamwork 8.3
service 8.3
equipment 8.3
barroom 8.3
happy 8.1
new 8.1
team 8.1
job 8
stove 7.9
nightlife 7.8
life 7.8
audience 7.8
scene 7.8
colleagues 7.8
corporate 7.7
hotel 7.6
relax 7.6
eat 7.6
learning 7.5
city 7.5
study 7.5
place 7.5
presentation 7.4
alcohol 7.4
domestic 7.2
suit 7.2
smile 7.1
working 7.1

Google
created on 2019-03-26

Black-and-white 91
Room 85.9
Snapshot 82.9
Monochrome photography 76.2
Table 73.3
Photography 72.5
Monochrome 67.6
Furniture 66
Architecture 65.5
Building 64.4
Interior design 62.5
Style 52.5
Classroom 51.6

Microsoft
created on 2019-03-26

indoor 94.2
furniture 17.7
classroom 17.7
meeting 8
person 5.7
black and white 5.1
assembly 4
chair 3.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 15-25
Gender Female, 51.3%
Disgusted 45.2%
Surprised 45.2%
Calm 46.9%
Sad 45.3%
Angry 45.2%
Confused 45.1%
Happy 52.1%

AWS Rekognition

Age 16-27
Gender Female, 52.9%
Disgusted 45.1%
Happy 45.6%
Angry 45.2%
Sad 47.7%
Calm 51%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 53.6%
Surprised 45.2%
Angry 45.4%
Disgusted 45.1%
Happy 45.3%
Sad 50.7%
Confused 45.2%
Calm 48.1%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 49.6%
Disgusted 49.5%
Happy 49.7%
Angry 49.6%
Confused 49.5%
Calm 50.2%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 52.1%
Disgusted 45%
Surprised 45.1%
Calm 54.7%
Sad 45.1%
Angry 45%
Confused 45%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.7%
Happy 49.6%
Angry 49.8%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Happy 50.1%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 49.8%
Calm 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Calm 50%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Disgusted 49.6%
Sad 49.8%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Male, 52.7%
Disgusted 45.2%
Angry 45.5%
Calm 50.7%
Surprised 45.6%
Sad 46.5%
Happy 45.3%
Confused 46.2%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.6%
Sad 49.7%
Happy 49.5%
Calm 50.1%
Disgusted 49.6%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.6%
Sad 49.6%
Happy 50.2%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Disgusted 49.6%
Sad 49.8%
Angry 49.7%
Surprised 49.6%
Happy 49.6%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Surprised 45.5%
Disgusted 45.2%
Angry 45.4%
Calm 49%
Sad 47.1%
Happy 47%
Confused 45.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.5%
Surprised 49.5%
Calm 49.8%
Sad 50%
Angry 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%
Angry 49.5%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Confused 49.5%
Calm 50.4%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.6%
Confused 45.1%
Disgusted 45.1%
Sad 45.7%
Angry 45.2%
Surprised 45.3%
Happy 47.9%
Calm 50.7%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Disgusted 49.5%
Calm 49.7%
Angry 49.6%
Happy 49.6%
Sad 49.9%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 53.8%
Sad 54.7%
Disgusted 45%
Happy 45%
Angry 45%
Confused 45.2%
Calm 45%
Surprised 45%

AWS Rekognition

Age 30-47
Gender Female, 50%
Happy 49.5%
Disgusted 49.7%
Confused 49.6%
Angry 49.6%
Calm 49.8%
Sad 49.9%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Sad 50.2%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 45-66
Gender Female, 50.5%
Happy 49.6%
Calm 49.5%
Sad 49.9%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.8%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Disgusted 49.7%
Confused 49.5%
Sad 49.6%
Happy 49.8%
Surprised 49.6%
Calm 49.7%
Angry 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Angry 49.8%
Calm 49.6%
Sad 49.6%
Surprised 49.6%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%

AWS Rekognition

Age 29-45
Gender Female, 52%
Confused 45.7%
Disgusted 45.3%
Happy 46.2%
Calm 49.4%
Angry 45.5%
Surprised 46.7%
Sad 46.2%

Feature analysis

Amazon

Chair 99.9%
Person 98%

Categories

Imagga

streetview architecture 99.1%

Text analysis

Amazon

PIes
KODVKTV
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