Human Generated Data

Title

Frontispiece

Date

1633

People

Artist: Jacques Callot, French 1592 - 1635

Classification

Prints

Human Generated Data

Title

Frontispiece

People

Artist: Jacques Callot, French 1592 - 1635

Date

1633

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 98.1
Person 98.1
Text 92
Person 90.8
Person 83.6
Outdoors 82.9
Person 77.7
Person 75.8
Nature 74.7
Person 67.7
Art 62.1
Person 51.4

Clarifai

people 100
print 99.7
adult 99.7
illustration 99.4
engraving 99.3
man 97.6
text 97.3
one 96.2
art 95.9
woodcut 95.6
group 94.5
military 92.2
portrait 91.1
etching 91.1
no person 90.1
lithograph 89.9
two 89
painting 88.8
administration 87.1
wear 86.7

Imagga

old 36.9
map 35.1
paper 34.5
antique 26.6
vintage 26.5
treasury 25.6
page 23.2
book 22.1
representation 20.5
depository 19.8
money 19.6
cash 18.3
retro 17.2
business 17
text 16.6
currency 16.2
finance 16.1
facility 15.3
ancient 14.7
bank 14.3
history 14.3
bill 14.3
dollar 13.9
art 13.5
pay 13.4
texture 13.2
close 13.1
states 12.6
commerce 12.1
document 12.1
note 12
grunge 11.9
wealth 11.7
sepia 11.7
banknote 11.6
geography 11.6
exchange 11.5
adornment 11.4
design 11.4
new 11.3
travel 11.3
sketch 10.9
religion 10.8
financial 10.7
us 10.6
read 10.6
decoration 10.5
drawing 10.5
print 10.4
banking 10.1
pendant 10.1
gold 9.9
bible 9.8
world 9.7
prayer 9.7
dollars 9.7
faith 9.6
atlas 9.5
capital 9.5
closeup 9.4
religious 9.4
card 9.3
wallpaper 9.2
letter 9.2
open 9
detail 8.9
words 8.8
holy 8.7
navigation 8.7
god 8.6
rich 8.4
economy 8.3
historic 8.3
graphic 8
bookmark 7.9
continent 7.8
arabesque 7.7
ink 7.7
frame 7.7
payment 7.7
state 7.7
word 7.5
planet 7.5
necklace 7.5
tray 7.5
globe 7.4
symbol 7.4
church 7.4

Google

text 89
black and white 86.2
history 79.2
font 75.7
monochrome 63.9
paper 61.9
paper product 60.7

Microsoft

text 100
book 100

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Male, 54.2%
Sad 45.6%
Surprised 45.4%
Calm 52.5%
Disgusted 45.1%
Confused 45.5%
Angry 45.7%
Happy 45.2%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Male, 54.7%
Sad 46.1%
Angry 46.8%
Confused 45.5%
Calm 50.6%
Disgusted 45.3%
Surprised 45.5%
Happy 45.1%

AWS Rekognition

Age 23-38
Gender Male, 51.6%
Sad 52.9%
Angry 45.4%
Calm 46.2%
Surprised 45.1%
Disgusted 45%
Happy 45.1%
Confused 45.2%

Feature analysis

Amazon

Person 98.1%

Captions

Microsoft

a close up of a book 59.8%
close up of a book 53.6%
a close up of text on a book 50.5%

Text analysis

Amazon

LES
MISERES
MISERES ET LES
CALLOT
ET
MALHEVRS
ISRAEL
Reprefente
IACOVES
Reprefente Par IACOVES CALLOT
LA
Pan
Noble
mis
Noble Lorrain
Par
ET mis en lumiere Pan ISRAEL
Lorrain
amy
en
GVERRE.
De LA GVERRE.
lumiere
Les
A
Roy
Jon amy
A Paris
De
Auec Priuilege
Paris
Jon

Google

ET
MAL-HEVRS
CALLOT
Moble
MISERES
LES
Par
IACOTES
MISERES ET LES MAL-HEVRS DE LA GTERRE epre entez Par IACOTES CALLOT Moble Lorrain. ET mis en lumiere Par 1ISRAEL on armty APARI
DE
armty
epre
entez
1ISRAEL
APARI
LA
GTERRE
Lorrain.
mis
en
lumiere
on