Human Generated Data

Title

Saint Dunstan

Date

17th century

People

Artist: Jacques Callot, French 1592 - 1635

Classification

Prints

Human Generated Data

Title

Saint Dunstan

People

Artist: Jacques Callot, French 1592 - 1635

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Art 93.8
Drawing 85.3
Human 85.3
Person 80.7
Person 80.5
Painting 75.6
Person 72.5
Person 64.6
Soil 61.9
Archaeology 56.9
Angel 55.6
Archangel 55.6

Clarifai

engraving 99.9
illustration 99.9
print 99.9
people 99.7
woodcut 99.6
etching 99.3
art 98.8
one 98.3
man 97.6
chalk out 97.4
visuals 96
veil 95.8
group 93.7
lithograph 92.7
portrait 91.4
adult 90.9
watercraft 90.5
painting 89.3
leader 88.1
monochrome 86.9

Imagga

sketch 68.9
drawing 56.3
representation 44.9
paper 34.5
money 32.3
currency 31.4
cash 29.3
dollar 28.8
bill 26.6
finance 26.2
wealth 26
bank 24.2
close 24
instrument 23.7
financial 23.2
business 23.1
protractor 22.9
pay 20.1
dollars 18.4
drafting instrument 17.6
banking 17.5
texture 17.4
graffito 17.2
franklin 16.7
old 16.7
exchange 16.2
hundred 15.5
sundial 15.5
map 14.9
closeup 14.8
design 14.7
note 14.7
device 14.7
art 14.5
decoration 14.5
loan 14.4
rich 14
grunge 13.6
one 12.7
bills 12.6
timepiece 12.5
pattern 12.3
textured 12.3
banknote 11.6
us 11.6
antique 11.4
measuring instrument 11.4
sign 11.3
number 11.2
vintage 10.9
president 10.8
success 10.5
commerce 10.3
investment 10.1
wallpaper 10
backdrop 9.9
atlas 9.6
payment 9.6
color 9.5
savings 9.3
economy 9.3
retro 9
wages 8.8
states 8.7
artistic 8.7
light 8.7
treasure 8.7
profit 8.6
structure 8.6
nobody 8.6
black 8.4
shape 8.2
backgrounds 8.1
futuristic 8.1
lines 8.1
symbol 8.1
line 8.1
detail 8
graphic 8
concepts 8
federal 7.9
banknotes 7.8
travel 7.7

Google

text 91.5
cartoon 90.8
history 79.8
art 73.7
human behavior 68.7
paper 63.2
illustration 58.9
font 57.2
fictional character 56.6
pattern 54.5

Microsoft

text 99.9
book 99.4

Face analysis

Amazon

AWS Rekognition

Age 26-44
Gender Male, 50.5%
Angry 49.6%
Sad 49.5%
Happy 49.5%
Confused 49.6%
Surprised 49.5%
Calm 50.3%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Calm 50%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.9%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.8%
Confused 49.6%
Calm 49.7%
Sad 49.6%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-44
Gender Male, 54.9%
Angry 45.4%
Calm 46.1%
Confused 45.5%
Disgusted 45.1%
Happy 48.3%
Sad 49.4%
Surprised 45.2%

Feature analysis

Amazon

Person 80.7%

Captions

Microsoft

a close up of a book 70.3%
close up of a book 65.2%
a close up of text on a book 59%

Text analysis

Amazon

SDVNSTAN
EPVS.
19
MA1
19 vael MA1
vael

Google

PVS
E
vae
E PVS MA1 vae
MA1