Human Generated Data

Title

Untitled (people seated at banquet tables)
Date

c. 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, 4.2002.4025

Human Generated Data

Title

Untitled (people seated at banquet tables)

People

Artist: Durette Studio, American 20th century

Date

c. 1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4025

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 99.3
Person 99.3
Person 98.8
Person 97.3
Crowd 96.5
Person 95.8
Person 95.7
Audience 95.6
Person 94.6
Person 94.5
Person 90.8
Indoors 84.6
Person 84.3
Interior Design 80.3
Room 80
People 78.9
Tie 77.8
Accessory 77.8
Accessories 77.8
Person 76.4
Person 75.4
Person 74.1
Person 69.6
Person 63.3
Clinic 62.9
Person 62.7
Press Conference 59.6
Court 58
Jury 57.7
School 57.6
Classroom 57.6
Lecture 56.3
Speech 56.3
Person 52.6
Person 45.2

Clarifai
created on 2019-06-01

people 99.9
many 99.2
adult 98.8
group 97.7
group together 96.6
man 95.1
crowd 95
leader 92.6
woman 90.7
administration 89.2
war 85.4
furniture 84
indoors 83.9
chair 83.3
child 83.3
vehicle 81.2
room 81
education 80.7
school 79.8
wear 78.1

Imagga
created on 2019-06-01

architecture 23.9
city 23.3
silhouette 20.7
business 20.6
people 18.4
building 17.9
urban 17.5
house 15.3
graphic 15.3
group 15.3
design 15.2
old 14.6
grunge 14.5
man 12.8
art 12.4
scene 12.1
construction 12
travel 12
modern 11.9
negative 11.9
balcony 11.5
home 11.4
cityscape 11.3
drawing 11.3
structure 11.1
black 10.8
retro 10.6
businessman 10.6
sky 10.2
vintage 9.9
film 9.9
hall 9.9
team 9.8
window 9.8
life 9.7
crowd 9.6
person 9.5
paper 9.5
buildings 9.4
men 9.4
room 9.3
finance 9.3
activity 9
symbol 8.7
light 8.7
skyline 8.5
church 8.3
sign 8.3
element 8.3
aged 8.1
interior 8
antique 8
male 7.8
ancient 7.8
frame 7.7
sketch 7.5
pattern 7.5
town 7.4
speed 7.3
success 7.2
adult 7.2
holiday 7.2
history 7.2
work 7.1

Google
created on 2019-06-01

Photograph 96.3
Stock photography 73.4
Crowd 73.4
Photography 67.8
Room 65.7
History 57.6
Black-and-white 56.4
Team 52.3

Microsoft
created on 2019-06-01

person 89.3
clothing 85.3
posing 78.9
group 55.4
man 53.7
crowd 0.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Happy 48.8%
Confused 45.2%
Disgusted 45.4%
Sad 45.4%
Calm 49.7%
Angry 45.2%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 80.5%
Disgusted 3.9%
Calm 53.1%
Confused 3.8%
Sad 6.5%
Surprised 8.9%
Angry 4.3%
Happy 19.5%

AWS Rekognition

Age 20-38
Gender Male, 54.3%
Sad 46.5%
Happy 45.1%
Surprised 45.5%
Calm 52%
Disgusted 45.1%
Confused 45.5%
Angry 45.3%

AWS Rekognition

Age 20-38
Gender Female, 53.3%
Sad 52.1%
Angry 45.3%
Disgusted 45.4%
Surprised 45.3%
Happy 45.9%
Calm 45.6%
Confused 45.3%

AWS Rekognition

Age 38-59
Gender Female, 51.8%
Sad 48%
Angry 45.6%
Calm 49.6%
Confused 45.6%
Disgusted 45.3%
Happy 45.3%
Surprised 45.5%

AWS Rekognition

Age 15-25
Gender Female, 54%
Happy 45%
Disgusted 45%
Angry 45.1%
Calm 52.6%
Surprised 45.2%
Confused 45.6%
Sad 46.5%

AWS Rekognition

Age 11-18
Gender Male, 51.2%
Surprised 45.3%
Calm 52.9%
Disgusted 45.1%
Confused 45.5%
Sad 45.8%
Happy 45.2%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Happy 46.1%
Surprised 45.4%
Angry 46.1%
Confused 45.4%
Calm 45.6%
Sad 50.4%
Disgusted 46%

AWS Rekognition

Age 26-43
Gender Male, 99.5%
Angry 2.8%
Sad 3.1%
Happy 74.6%
Calm 12.3%
Confused 2%
Disgusted 0.5%
Surprised 4.6%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Disgusted 45%
Angry 45.1%
Confused 45.2%
Sad 51.8%
Happy 45.2%
Calm 47.5%
Surprised 45.2%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 53.9%
Confused 45.4%
Happy 45.1%
Surprised 45.1%
Angry 45.5%
Disgusted 45.1%
Calm 45.1%
Sad 53.6%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Disgusted 51.3%
Sad 45.8%
Happy 45.3%
Surprised 45.5%
Calm 46.1%
Angry 45.4%
Confused 45.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.5%
Sad 50.3%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.7%
Confused 49.5%
Sad 50%
Surprised 49.5%
Angry 49.6%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.6%
Sad 49.7%
Calm 49.6%
Happy 49.7%
Surprised 49.7%
Disgusted 49.7%
Angry 49.6%

AWS Rekognition

Age 45-63
Gender Male, 50.2%
Calm 50.2%
Surprised 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.7%
Disgusted 49.6%
Sad 49.8%
Happy 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.6%
Calm 49.8%
Sad 49.7%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.9%
Angry 49.6%
Sad 49.6%
Surprised 49.6%
Happy 49.7%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 45.2%
Confused 45.1%
Surprised 45.1%
Happy 45.3%
Sad 45.5%
Calm 53.5%
Disgusted 45.2%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.8%
Angry 49.5%
Sad 49.6%
Surprised 49.5%
Happy 49.9%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.5%
Happy 49.6%
Calm 50.2%
Surprised 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Calm 50.3%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Happy 49.5%
Calm 49.7%
Angry 49.5%
Confused 49.7%
Surprised 49.6%
Sad 49.9%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.7%
Happy 49.6%
Sad 49.6%
Disgusted 49.8%
Confused 49.6%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Happy 49.7%
Calm 50%
Angry 49.5%
Confused 49.5%
Surprised 49.6%
Sad 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.5%
Sad 49.6%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Calm 50.4%
Angry 49.5%
Sad 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Sad 49.6%
Calm 50%
Surprised 49.5%
Angry 49.7%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Angry 49.5%
Sad 49.6%
Surprised 49.6%
Happy 49.6%
Calm 49.9%
Disgusted 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Confused 49.6%
Surprised 49.6%
Sad 49.6%
Angry 49.6%
Happy 49.6%
Calm 49.7%
Disgusted 49.7%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 49.6%
Sad 49.6%
Surprised 49.6%
Happy 49.8%
Calm 49.7%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.6%
Happy 49.6%
Disgusted 49.6%
Calm 50%
Sad 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50.5%
Sad 49.8%
Angry 49.5%
Calm 49.8%
Confused 49.7%
Disgusted 49.5%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 45-63
Gender Female, 50.5%
Sad 49.6%
Calm 49.9%
Surprised 49.6%
Angry 49.5%
Disgusted 49.5%
Happy 49.8%
Confused 49.6%

AWS Rekognition

Age 45-66
Gender Male, 54.2%
Surprised 45.2%
Disgusted 45%
Calm 54%
Happy 45.3%
Sad 45.3%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Disgusted 49.6%
Happy 49.6%
Sad 49.7%
Calm 49.8%
Angry 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Confused 45.6%
Surprised 45.7%
Angry 45.5%
Calm 49.1%
Disgusted 45.5%
Sad 48%
Happy 45.5%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Disgusted 49.9%
Happy 49.6%
Sad 49.6%
Calm 49.7%
Angry 49.7%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Sad 48.1%
Angry 46.3%
Calm 48.2%
Confused 46.3%
Disgusted 45.4%
Happy 45.1%
Surprised 45.7%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Angry 49.5%
Happy 49.7%
Confused 49.5%
Sad 49.6%
Calm 50%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Confused 49.5%
Surprised 49.6%
Angry 49.6%
Calm 50.1%
Disgusted 49.6%
Sad 49.6%
Happy 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 50.2%
Calm 49.5%
Sad 49.7%

AWS Rekognition

Age 38-59
Gender Female, 50.4%
Angry 49.5%
Sad 50%
Disgusted 49.5%
Surprised 49.5%
Happy 49.6%
Calm 49.8%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Happy 49.8%
Disgusted 49.5%
Angry 49.5%
Calm 49.9%
Sad 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Angry 49.6%
Calm 49.8%
Sad 49.5%
Surprised 49.5%
Disgusted 49.9%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 51.5%
Confused 47.2%
Surprised 47%
Happy 45.6%
Angry 45.6%
Sad 46.9%
Disgusted 45.4%
Calm 47.3%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Sad 49.5%
Happy 49.5%
Calm 50.3%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.6%
Happy 49.6%
Confused 49.5%
Angry 49.7%
Surprised 49.6%
Disgusted 50%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.5%
Sad 49.7%
Disgusted 49.5%
Happy 50%
Calm 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.7%
Surprised 49.6%
Happy 49.6%
Angry 49.6%
Calm 49.8%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Disgusted 49.6%
Sad 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.5%
Calm 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.6%
Calm 50.3%
Sad 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.7%
Sad 49.6%
Surprised 49.7%
Angry 49.6%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.7%
Happy 49.7%
Sad 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Angry 49.5%
Sad 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%
Calm 50.1%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.5%
Angry 49.5%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Sad 50%

Feature analysis

Amazon

Person 99.3%
Tie 77.8%

Categories

Imagga

interior objects 45.1%
paintings art 40.8%
streetview architecture 12.9%