Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs
Date

1902
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, 3.2002.1459

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs

People

Artist: Unidentified Artist,

Date

1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1459

Machine Generated Data

Tags

Amazon
created on 2019-06-04

School 99
Room 98.5
Classroom 98.5
Indoors 98.5
Person 96.5
Human 96.5
Restaurant 91.3
Person 89.9
Person 89.5
Person 88.7
Person 88
Cafeteria 87.8
Person 87.3
Person 83.6
Person 80.8
Person 78.8
Person 73
Person 68.4
Person 61.1
Crowd 58.7
Text 58.2
Person 47.2

Clarifai
created on 2019-06-04

people 99.8
group 98.9
adult 98.3
many 97.6
print 95.9
man 94.5
group together 91.2
furniture 91.2
vehicle 90.2
lithograph 89.6
woman 88.2
room 86.4
military 85.5
wear 85.3
illustration 84.9
crowd 84
administration 83.2
musician 81.8
war 81.5
chair 81.4

Imagga
created on 2019-06-04

book jacket 32.7
web site 29.7
jacket 25.5
building 22.3
business 20
old 19.5
wrapping 19.3
vintage 15.9
architecture 15.6
grunge 15.3
daily 14.4
newspaper 14.4
house 14.2
money 13.6
design 13.5
history 13.4
structure 13.4
city 13.3
covering 13.2
retro 13.1
finance 12.7
treasury 12.2
paper 11.8
dirty 11.7
currency 11.7
product 11.6
antique 11.4
dollar 11.1
cash 11
drawing 10.9
shop 10.7
financial 10.7
people 10.6
window 10.6
facility 10.5
bill 10.5
bank 10.1
space 10.1
man 10.1
office 9.9
art 9.8
texture 9.7
urban 9.6
home 9.6
construction 9.4
wall 9.4
creation 9.4
depository 9.3
rich 9.3
male 9.2
travel 9.1
paint 9
interior 8.8
hundred 8.7
black 8.4
tourism 8.2
pattern 8.2
aged 8.1
light 8
decoration 8
ancient 7.8
wagon 7.8
payment 7.7
pay 7.7
grungy 7.6
frame 7.5
silhouette 7.4
symbol 7.4
banking 7.4
indoor 7.3
graphic 7.3
success 7.2
person 7.2
wealth 7.2
room 7.1
sky 7
modern 7

Google
created on 2019-06-04

Photograph 95.8
Text 91.9
Snapshot 85.4
Room 74.4
Adaptation 67
History 66.1
Collection 54
Art 50.2

Microsoft
created on 2019-06-04

person 97.3
indoor 91.2
library 72.9
clothing 66
several 10.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.6%
Calm 49.7%
Happy 49.5%
Sad 49.9%
Angry 49.6%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.7%
Surprised 49.5%
Sad 50.3%
Calm 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Sad 50.3%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Angry 49.7%
Surprised 49.5%
Calm 49.6%
Happy 49.6%
Disgusted 49.5%
Sad 50.1%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.6%
Happy 49.6%
Disgusted 49.6%
Calm 49.8%
Confused 49.6%
Sad 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Surprised 49.6%
Angry 49.6%
Calm 50%
Confused 49.6%
Disgusted 49.5%
Happy 49.6%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.6%
Calm 49.6%
Disgusted 49.5%
Happy 49.7%
Angry 49.6%
Sad 49.9%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50%
Angry 49.7%
Calm 49.8%
Sad 49.6%
Disgusted 49.7%
Happy 49.5%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.5%
Sad 50.3%
Confused 49.5%
Surprised 49.5%

Feature analysis

Amazon

Person 96.5%

Categories

Imagga

paintings art 77.9%
text visuals 18.4%
interior objects 1.8%
streetview architecture 1%

Text analysis

Amazon

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