Human Generated Data

Title

Untitled (elevated view of gym filled with people eating at banquet tables)
Date

1959
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, 4.2002.11056

Human Generated Data

Title

Untitled (elevated view of gym filled with people eating at banquet tables)

People

Artist: Claseman Studio, American 20th century

Date

1959

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11056

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 98.2
Person 98.2
Indoors 97.4
Interior Design 97.4
Person 95.7
Person 93.5
Person 93
Crowd 90.1
Audience 90
Person 89.5
Person 89.2
Room 86.8
Person 85.8
Restaurant 81.7
School 76
Classroom 76
Cafeteria 75.1
People 71.3
Furniture 69.8
Person 67.7
Food 66.5
Meal 66.5
Musical Instrument 66
Musician 66
Leisure Activities 65.8
Person 64.6
Chair 64.5
Chair 63.4
Speech 57
Seminar 57
Lecture 57
Person 50.5
Person 43.3

Clarifai
created on 2019-03-25

people 99.9
many 99.9
audience 99.8
crowd 99.5
group together 98.9
group 98.4
spectator 97
music 96.2
man 95.7
adult 94.8
chair 93.7
concert 88.3
woman 86.5
furniture 86.5
room 86.4
meeting 85.4
performance 84.7
musician 84.1
sit 81.7
seat 81

Imagga
created on 2019-03-25

hall 43.2
room 38.7
classroom 36.7
center 24.4
business 20.6
table 19.9
chair 19.8
people 19
group 17.7
silhouette 14.9
modern 14.7
interior 14.1
restaurant 14.1
building 14
design 13.5
crowd 13.4
office 13.2
person 13.1
work 11.8
architecture 11.7
city 11.6
light 11.4
empty 11.2
floor 11.1
businessman 10.6
computer 10.6
urban 10.5
party 10.3
glass 10.1
dinner 10.1
professional 9.9
corporate 9.4
men 9.4
adult 9.3
reflection 9.3
event 9.2
music 9
tables 8.9
teacher 8.8
chairs 8.8
conference 8.8
seat 8.5
male 8.5
meeting 8.5
black 8.4
laptop 8.4
businesswoman 8.2
style 8.2
new 8.1
entrepreneur 8
structure 7.8
audience 7.8
scene 7.8
furniture 7.8
hotel 7.6
desk 7.6
presentation 7.4
tourism 7.4
food 7.4
equipment 7.3
indoor 7.3
cafeteria 7.3
success 7.2
indoors 7

Google
created on 2019-03-25

Photograph 96.9
Crowd 87.9
Snapshot 87.6
Black-and-white 82.7
Room 76.5
Class 68.5
Photography 67.8
Stock photography 67.6
Event 62.7
Monochrome 60.1
Monochrome photography 57.8
Style 51

Microsoft
created on 2019-03-25

player 73.9
people 67.9
crowd 26.8
person 26.8
assembly 21.4
black and white 17.5
music 10

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 50.4%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50%
Calm 49.6%
Sad 50.3%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Happy 49.6%
Calm 50%
Confused 49.5%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 57-77
Gender Male, 51.8%
Happy 45.1%
Confused 45.3%
Sad 47.1%
Calm 51.4%
Surprised 45.3%
Angry 45.6%
Disgusted 45.1%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.6%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 35-55
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.6%
Sad 50.2%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.6%
Confused 46.3%
Angry 45.6%
Surprised 46.5%
Sad 48%
Happy 45.3%
Calm 47.6%
Disgusted 45.6%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Male, 50.5%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Sad 49.6%
Happy 49.5%
Calm 49.9%
Disgusted 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Sad 49.6%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Happy 49.7%
Confused 49.5%
Disgusted 50%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Surprised 49.5%
Angry 49.6%
Sad 49.9%
Calm 49.9%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.6%
Surprised 49.6%
Calm 49.8%
Confused 49.5%
Happy 49.9%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Calm 49.9%
Disgusted 49.5%
Sad 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Calm 50.3%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Surprised 49.6%
Confused 49.5%
Calm 49.7%
Disgusted 49.8%
Angry 49.6%
Happy 49.7%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 49.9%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Sad 53.8%
Calm 45.2%
Happy 45.1%
Surprised 45.3%
Disgusted 45.2%
Confused 45.3%
Angry 45.2%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50.3%
Happy 49.6%
Sad 49.5%

Feature analysis

Amazon

Person 98.2%
Chair 64.5%

Text analysis

Amazon

KODAK
SAFETY
KODAK SAFETY FILM
FILM
11

Google

KODAK SAFETY FILM
KODAK
SAFETY
FILM