Human Generated Data

Title

Probable Effects of Over Female Emigration, or Importing the Fair Sex from the Savage Islands in Consequence of Exporting all our own to Australia
Date

1851
People

Artist: George Cruikshank, British 1792 - 1878
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Peter G. and Elizabeth S. Neumann, 2009.135

Human Generated Data

Title

Probable Effects of Over Female Emigration, or Importing the Fair Sex from the Savage Islands in Consequence of Exporting all our own to Australia

People

Artist: George Cruikshank, British 1792 - 1878

Date

1851

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Peter G. and Elizabeth S. Neumann, 2009.135

Machine Generated Data

Tags

Amazon
created on 2019-04-04

Person 99.7
Human 99.7
Person 99.5
Person 99.3
Person 99.3
Person 99.3
Person 99.1
Person 98.9
Person 94
Art 92.3
Painting 92.3
Person 90.2
Person 73.6
Person 71.8
Person 69.8
Person 68.9
Person 66.9
People 62.6
Person 60.6
Vehicle 58.6
Transportation 58.6
Boat 58.6
Clothing 56.6
Apparel 56.6
Person 55
Person 44.5

Clarifai
created on 2018-03-23

people 99.8
adult 99
print 98.8
illustration 98.7
man 98.3
lithograph 97.5
woman 97
veil 96.1
art 94.9
group 94.6
wear 92.7
child 91.3
sword 90
religion 89.4
lid 86.8
army 84.7
warrior 84.2
cape 82
gown (clothing) 81.4
dress 81.1

Imagga
created on 2018-03-23

graffito 26.2
vintage 22.3
stamp 19.3
decoration 18.9
old 18.8
letter 18.3
postmark 17.7
mail 17.2
travel 16.2
sand 16
postal 15.7
retro 15.6
art 15.1
postage 14.7
ancient 14.7
beach 14.5
sport 14.4
envelope 14
philately 13.8
antique 12.3
circa 11.8
paper 11.8
ocean 11.8
comic book 11.6
man 11.4
desert 11.1
money 11.1
message 11
aged 10.9
currency 10.8
sea 10.7
card 10.2
symbol 10.1
holiday 10
global 10
vacation 9.8
sky 9.6
tourist 9.5
grunge 9.4
male 9.2
cash 9.1
person 9.1
business 9.1
tourism 9.1
coast 9
religion 9
people 8.9
printed 8.8
address 8.8
play 8.6
international 8.6
post 8.6
close 8.6
church 8.3
banking 8.3
bank 8.1
water 8
colorful 7.9
world 7.8
holy 7.7
exchange 7.6
hobby 7.6
drawing 7.6
religious 7.5
success 7.2
map 7.2
history 7.2

Google
created on 2018-03-23

history 74.8
vintage clothing 61.5
painting 61.1
middle ages 56.3
costume design 53.3
art 51.5

Microsoft
created on 2018-03-23

person 98.7
text 95.2
group 82.8
posing 70.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Sad 50.2%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.5%
Confused 49.5%
Disgusted 49.7%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Sad 50.2%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Sad 49.6%
Confused 49.5%
Disgusted 49.7%
Calm 49.5%
Surprised 49.6%
Happy 50%
Angry 49.6%

AWS Rekognition

Age 48-68
Gender Male, 52.4%
Sad 47%
Disgusted 45.2%
Calm 45.3%
Surprised 45.6%
Happy 50.5%
Angry 45.9%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.6%
Surprised 49.9%
Calm 49.6%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 45-66
Gender Female, 50.4%
Surprised 50%
Sad 49.5%
Happy 49.5%
Disgusted 49.6%
Calm 49.8%
Angry 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 14-25
Gender Female, 53.3%
Calm 48.2%
Angry 46%
Confused 45.8%
Surprised 45.7%
Sad 46.9%
Disgusted 46.2%
Happy 46.2%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Sad 49.7%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 50%
Angry 49.5%

AWS Rekognition

Age 35-53
Gender Male, 54.4%
Surprised 45.5%
Happy 45.8%
Sad 46.9%
Confused 46.1%
Angry 47.2%
Disgusted 47.4%
Calm 45.9%

AWS Rekognition

Age 26-43
Gender Female, 54.5%
Angry 48.2%
Disgusted 46.7%
Happy 48.2%
Confused 45.2%
Sad 45.8%
Calm 45.4%
Surprised 45.6%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Angry 49.6%
Happy 49.7%
Calm 49.5%

AWS Rekognition

Age 27-44
Gender Female, 54.8%
Surprised 45.2%
Confused 45.1%
Disgusted 45.4%
Angry 45.3%
Sad 45.7%
Calm 45.2%
Happy 53.1%

AWS Rekognition

Age 45-63
Gender Female, 54.2%
Disgusted 45.1%
Happy 51.8%
Angry 45.1%
Confused 45%
Calm 45%
Surprised 45.1%
Sad 47.9%

AWS Rekognition

Age 26-43
Gender Male, 50%
Confused 49.5%
Sad 49.6%
Surprised 49.6%
Disgusted 49.5%
Happy 49.6%
Calm 50.2%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.5%
Confused 49.7%
Calm 49.8%
Angry 49.6%
Surprised 49.7%
Sad 49.8%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.5%
Surprised 49.6%
Angry 49.6%
Calm 50.1%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Confused 45.2%
Angry 52.9%
Disgusted 45.4%
Sad 45.3%
Happy 46%
Calm 45%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 50%
Calm 49.5%
Disgusted 49.6%
Surprised 49.7%
Happy 49.6%
Sad 49.9%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 54.1%
Happy 53.1%
Surprised 45.2%
Disgusted 45.1%
Angry 45.6%
Calm 45.3%
Sad 45.6%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 50%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.9%
Happy 49.5%
Disgusted 50%

AWS Rekognition

Age 17-27
Gender Male, 50.1%
Disgusted 49.8%
Happy 49.7%
Calm 49.6%
Angry 49.6%
Surprised 49.6%
Confused 49.5%
Sad 49.7%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Sad 50.1%
Confused 49.6%
Disgusted 49.6%
Calm 49.6%
Surprised 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.7%
Painting 92.3%
Boat 58.6%

Text analysis

Amazon

Fair
Islands
Australid
OVER
Importino
PROBABLK
the
from
Savabe
all
lonsequence
Excportin's
PROBABLK EFFECT'So OVER FEMALE Importino He Fair Sex from the Savabe Islands int lonsequence of Excportin's all Fo Australid 11111
int
11111
EFFECT'So
FEMALE
Sex
Fo
of
He

Google

เจ้ PROBABL MTOVER EMALEHIGRUTION,or Importing tie EairSex fron the Savage Islands in Consequence of Hsporlin ailourownt to Austhalia !!
เจ้
PROBABL
MTOVER
EMALEHIGRUTION,or
Importing
tie
EairSex
fron
the
Savage
Islands
in
Consequence
of
Hsporlin
ailourownt
to
Austhalia
!!