Human Generated Data

Title

Social Settlements: United States. New York. Brooklyn. Greenpoint Settlement: Greenpoint Settlement, Brooklyn, N.Y.: Saturday Morning. Teachers from Dom. Science and Dom. Art Department.
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.174.1

Human Generated Data

Title

Social Settlements: United States. New York. Brooklyn. Greenpoint Settlement: Greenpoint Settlement, Brooklyn, N.Y.: Saturday Morning. Teachers from Dom. Science and Dom. Art Department.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.174.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

School 98.5
Indoors 98.3
Room 98.3
Classroom 98.3
Person 92.8
Human 92.8
Person 92.8
Person 91.7
Workshop 77.2
Restaurant 69.8
Cafeteria 69.8
Person 63.3
Person 61.3
Person 60.7
Person 57
Crowd 55.3
Person 47.9

Clarifai
created on 2019-06-05

people 99.8
many 99.8
group 98.8
adult 97.8
group together 97.5
man 96.6
crowd 95.2
furniture 94.4
military 94.2
chair 93
room 92.9
woman 90.3
art 86.4
administration 85.2
indoors 84.9
education 84.7
leader 83.2
war 80
seat 78.8
sit 77.7

Imagga
created on 2019-06-05

room 64.3
restaurant 57.2
interior 56.6
table 46.1
cafeteria 43
chair 40.4
classroom 34.1
furniture 32.9
building 31.2
modern 26.6
hall 26
decor 23.9
design 22.5
dinner 22.4
structure 22.3
floor 22.3
dining 21.9
empty 20.6
inside 20.2
glass 20.2
indoors 19.3
house 19.2
home 19.1
luxury 18
architecture 17.2
banquet 16.7
wood 16.7
tables 15.7
chairs 15.7
seat 15.4
light 15.4
window 14.8
style 14.8
indoor 14.6
decoration 14.6
hotel 14.3
elegance 14.3
urban 14
food 13.6
comfortable 13.4
lamp 13.3
contemporary 13.2
shop 13.1
eat 11.7
nobody 11.7
business 11.5
elegant 11.1
meal 10.9
city 10.8
party 10.3
lunch 10.3
place 10.2
bar 10.2
people 10
drink 10
office 9.8
life 9.7
relax 9.3
service 9.3
wine 9.2
wedding 9.2
kitchen 9
stool 8.9
scene 8.6
work 8.6
residential 8.6
salon 8.6
wall 8.5
living 8.5
desk 8.5
wooden 7.9
center 7.8
catering 7.8
dine 7.8
setting 7.7
decorate 7.6
relaxation 7.5
reflection 7.3
day 7.1
travel 7

Google
created on 2019-06-05

Photograph 95.6
Snapshot 84.1
Room 80.1
Stock photography 62.1
History 54.1

Microsoft
created on 2019-06-05

indoor 96.9
table 94.4
furniture 90.2
chair 88.9
person 87.4
old 75.8
clothing 70.2
room 40.7
clothes 19.5
dining room 19
dining table 15.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Calm 49.7%
Sad 49.7%
Angry 49.7%
Surprised 49.6%
Disgusted 49.7%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.6%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Disgusted 50.3%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Angry 49.7%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.6%
Surprised 49.6%
Sad 49.6%
Calm 49.9%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Disgusted 49.5%
Sad 50.2%
Calm 49.6%
Happy 49.6%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 2-5
Gender Female, 53.4%
Happy 45.8%
Sad 51.7%
Surprised 45.7%
Angry 45.3%
Calm 45.7%
Disgusted 45.3%
Confused 45.4%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50%
Sad 49.7%
Angry 49.9%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Female, 52.5%
Confused 45.8%
Sad 48.5%
Disgusted 45.8%
Angry 47.4%
Happy 45.7%
Calm 46.2%
Surprised 45.5%

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.6%
Happy 50%
Surprised 49.6%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 49-69
Gender Male, 50.2%
Surprised 45.1%
Angry 45.2%
Sad 54.1%
Happy 45%
Disgusted 45%
Calm 45.5%
Confused 45.1%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Surprised 49.6%
Sad 50.1%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

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

Feature analysis

Amazon

Person 92.8%

Categories

Imagga

interior objects 99.9%

Text analysis

Google

SK
SK