Human Generated Data

Title

A Disagreement in Conversation among the Folks Who Have the Habit of Putting Their Words into Action

Date

1840

People

Artist: Honoré-Victorin Daumier, French 1808-1879

Classification

Prints

Human Generated Data

Title

A Disagreement in Conversation among the Folks Who Have the Habit of Putting Their Words into Action

People

Artist: Honoré-Victorin Daumier, French 1808-1879

Date

1840

Classification

Prints

Machine Generated Data

Tags

Amazon

Person 98.8
Human 98.8
Text 96.7
Person 95.9
Art 93.5
Drawing 93.5
Poster 88.2
Advertisement 88.2
Sketch 78.8
Newspaper 66.2
Page 62.1

Clarifai

people 99.6
print 98.4
art 97.9
illustration 97.6
adult 97.4
man 97.2
portrait 97.1
engraving 95.7
retro 95.3
vintage 94
two 93.9
woman 92.9
old 92.1
antique 89.6
painting 89.2
wear 87.9
paper 86.1
one 85.6
leader 85
writer 84.5

Imagga

web site 100
money 31.5
newspaper 31.3
product 28.4
creation 26.2
currency 25.1
dollar 23.2
business 23.1
cash 22.9
paper 22.7
bank 20.6
banking 20.2
wealth 18.9
stamp 18.4
dollars 18.4
close 18.3
mail 18.2
financial 17.8
vintage 17.4
bill 17.1
postmark 15.8
postage 15.7
finance 15.2
savings 14.9
daily 14.8
postal 14.7
philately 13.8
letter 13.8
us 13.5
one 13.4
exchange 13.4
retro 13.1
closeup 12.8
envelope 12.7
hundred 12.6
old 11.9
bills 11.7
finances 11.6
people 11.2
portrait 11
circa 10.9
franklin 10.8
banknotes 10.8
man 10.8
market 10.7
states 10.6
loan 10.5
card 10.2
investment 10.1
office 9.6
design 9.6
person 9.5
symbol 9.4
rich 9.3
economy 9.3
face 9.2
aged 9.1
sign 9
black 9
printed 8.9
banknote 8.7
representation 8.7
ancient 8.7
post 8.6
united 8.6
drawing 8.5
alone 8.2
object 8.1
success 8
hair 7.9
icon 7.9
philatelic 7.9
debt 7.7
payment 7.7
pay 7.7
capital 7.6
head 7.6
stock 7.5
silhouette 7.5
art 7.3
message 7.3
modern 7

Microsoft

text 99.5
sketch 97.1
drawing 96.8
cartoon 86.1
illustration 85.8
human face 73.9
person 52.9

Face analysis

Amazon

AWS Rekognition

Age 21-33
Gender Female, 93.1%
Confused 1.5%
Fear 13.9%
Happy 2.6%
Angry 77.1%
Calm 0.2%
Disgusted 0.4%
Sad 0.9%
Surprised 3.3%

AWS Rekognition

Age 34-50
Gender Male, 57.9%
Fear 2.2%
Calm 0.2%
Sad 0.5%
Confused 0.2%
Angry 96.2%
Happy 0.2%
Surprised 0.3%
Disgusted 0.2%

Feature analysis

Amazon

Person 98.8%
Poster 88.2%

Captions

Microsoft

a screenshot of a cell phone screen with text 35.3%
a close up of text on a black background 35.2%
a close up of text on a white background 35.1%

Text analysis

Amazon

TYPES
TYPES PARISIENS.
PARISIENS.
recit
mettre
ont
le
de
causer
avec
les
cher
en
Desagrement de causer avec les gens gui ont la manie de mettre le recit en action
Desagrement
permis
action
la
ppppohsson
s'est
gens
Vous
manie
gui
mon
me
cela
Alors
Monsieur.
&
savez
caractere
la.comme
-0m mon cher Monsieur. croniez vous que le ppppohsson s'est permis de me r1e au nez savez pas
.come
vous
pas
voyez
au nez
caractere Alors empoiine .come cela voyez la.comme cemenl.
danbert &
croniez
que
-0m
empoiine
danbert
No29
cemenl.
bd
Ber
r1e

Google

Crant
causer
les
le
-Om
cher
Monsieur,
lai
l'ai
TYPES PARISIENS Imp dAubert &c Ber Crant 1 Desagrement de causer avec les sens gui ont la manie de mettre le recit en action -Om mon cher Monsieur, crommez-vous que le ppppohsson s'est permis de me ire au nez Vous savez qne jen'ai pas le caractere endurant Alorsje lai empoime là comme cela, voyez-vous ,et je vous l'ai secoué 1å, comme ca vourensement
ont
manie
recit
en
empoime
je
ca
PARISIENS
de
sens
la
action
crommez-vous
ppppohsson
ire
savez
jen'ai
pas
endurant
comme
voyez-vous
vous
TYPES
Imp
Desagrement
mon
que
s'est
permis
nez
Vous
qne
caractere
Alorsje
,et
secoué
1å,
vourensement
dAubert
&c
Ber
1
avec
gui
mettre
me
au
cela,