Human Generated Data

Title

Untitled (congregation seated at banquet tables)
Date

1937
People

Artist: Durette 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, 4.2002.3980

Human Generated Data

Title

Untitled (congregation seated at banquet tables)

People

Artist: Durette Studio, American 20th century

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3980

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Person 99.1
Human 99.1
Person 98.9
Person 98.7
Person 98.4
Person 98.4
Person 98.2
Person 95.2
Person 95.1
Crowd 93.3
Interior Design 78.1
Indoors 78.1
Person 70.9
People 68.7
Person 67.7
Audience 65.8
Room 65.1
Person 62.8
Photography 61.2
Photo 61.2
Person 42.3

Clarifai
created on 2019-06-01

people 100
many 99.7
group 99.2
group together 98.6
crowd 98.3
adult 94.9
audience 94.8
administration 94.6
man 94
leader 93.8
spectator 91
war 86.2
wear 84.3
woman 83.1
military 79.8
music 78.3
outfit 76.2
vehicle 75.8
chair 74.3
ceremony 67.7

Imagga
created on 2019-06-01

barbershop 78.6
shop 69.2
mercantile establishment 54.2
place of business 36.5
people 19.5
building 18.7
establishment 18.1
city 17.4
architecture 17.2
man 16.8
stall 15.5
business 14
group 13.7
night 13.3
male 12.8
old 12.5
sky 12.1
person 12
work 11.8
urban 11.3
black 10.8
silhouette 10.7
modern 10.5
office 10.4
couple 10.4
grunge 10.2
design 10.1
light 10
crowd 9.6
skyline 9.5
adult 9.2
technology 8.9
new 8.9
structure 8.6
construction 8.5
industry 8.5
finance 8.4
house 8.3
occupation 8.2
restaurant 8.2
stage 8
businessman 7.9
case 7.7
travel 7.7
two 7.6
vintage 7.4
life 7.3
dirty 7.2
music 7.2
tower 7.2
job 7.1

Google
created on 2019-06-01

Photograph 97.2
Snapshot 84.3
Photography 74.8
Black-and-white 74.4
Event 74.1
Monochrome 72.4
Stock photography 72.2
Monochrome photography 64.7
Crowd 62.7

Microsoft
created on 2019-06-01

person 96.5
clothing 89.1
man 76.5
group 75.7
human face 71.4
people 65.2
crowd 45.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 52.1%
Happy 45.6%
Sad 46.6%
Confused 45.5%
Angry 45.6%
Disgusted 46%
Surprised 45.5%
Calm 50.2%

AWS Rekognition

Age 26-43
Gender Female, 60.9%
Happy 19.1%
Surprised 6.7%
Calm 17.6%
Sad 39.3%
Disgusted 3.8%
Angry 7.9%
Confused 5.5%

AWS Rekognition

Age 26-43
Gender Male, 55%
Surprised 45.3%
Calm 51.5%
Disgusted 45.1%
Confused 45.4%
Sad 46.4%
Happy 45.3%
Angry 46%

AWS Rekognition

Age 29-45
Gender Female, 84.1%
Confused 1.4%
Surprised 2.3%
Sad 43.4%
Angry 2%
Happy 38.6%
Calm 11%
Disgusted 1.2%

AWS Rekognition

Age 38-59
Gender Male, 53.2%
Angry 45.6%
Surprised 45.7%
Calm 49.8%
Sad 46.5%
Confused 45.8%
Disgusted 45.6%
Happy 46%

AWS Rekognition

Age 30-47
Gender Female, 54.4%
Sad 45.8%
Angry 45.2%
Surprised 45.4%
Calm 45.5%
Disgusted 45.4%
Happy 52.5%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 52.3%
Disgusted 45.4%
Calm 49.4%
Confused 45.4%
Sad 47.6%
Surprised 45.6%
Angry 45.4%
Happy 46.2%

AWS Rekognition

Age 23-38
Gender Male, 52.1%
Happy 45.1%
Disgusted 47.2%
Angry 45.2%
Surprised 45.2%
Sad 45.4%
Calm 51.7%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Confused 49.5%
Angry 49.5%
Sad 49.7%
Calm 50%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.2%
Disgusted 45.2%
Confused 45.2%
Surprised 45.2%
Calm 52.1%
Happy 45.5%
Angry 45.5%
Sad 46.4%

AWS Rekognition

Age 45-66
Gender Female, 50.4%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.7%
Surprised 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Happy 49.5%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 50.4%
Angry 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Sad 50%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Happy 49.6%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Sad 49.6%
Disgusted 50.2%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Surprised 49.5%
Sad 50%
Angry 49.6%
Disgusted 49.6%
Calm 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 50.4%
Sad 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Disgusted 50%
Sad 49.6%
Calm 49.6%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Confused 49.6%
Surprised 49.6%
Calm 49.8%
Sad 49.6%
Happy 49.8%
Disgusted 49.6%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Confused 49.6%
Calm 49.7%
Sad 49.9%
Surprised 49.6%
Angry 49.6%
Disgusted 49.5%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.6%
Calm 50.1%
Sad 49.6%
Surprised 49.6%
Disgusted 49.5%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.7%
Disgusted 49.8%
Calm 49.6%
Sad 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Disgusted 49.7%
Sad 49.7%
Confused 49.5%
Happy 49.7%
Angry 49.6%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.5%
Surprised 49.6%
Calm 49.5%
Disgusted 49.8%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%
Surprised 49.6%
Angry 49.5%
Happy 49.8%
Calm 49.9%

Feature analysis

Amazon

Person 99.1%