Human Generated Data

Title

Holy Family at Table

Date

17th century

People

Artist: Jacques Callot, French 1592 - 1635

Classification

Prints

Human Generated Data

Title

Holy Family at Table

People

Artist: Jacques Callot, French 1592 - 1635

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Person 99.2
Human 99.2
Person 93.2
Poster 87
Advertisement 87
Text 82.1
Art 76.6
Painting 76.6
Newspaper 61.1
Drink 55.9
Beverage 55.9
Alcohol 55.4

Clarifai

people 100
print 99.3
illustration 99.2
adult 97.9
art 97.8
engraving 97
man 96.9
one 96.8
portrait 96.3
veil 95.9
ellipse 92.4
group 91.8
woman 90.7
two 86.4
cape 85.6
text 85.1
religion 83.5
leader 82.1
scientist 81.7
baby 81

Imagga

ingot 82.4
block 64.7
money 49.4
currency 43.1
cash 43
dollar 39.9
finance 38
mosaic 36.4
bank 32.3
financial 32.1
wealth 29.6
business 26.7
banking 26.7
paper 26.7
dollars 26.1
bill 25.7
close 25.1
one 23.9
us 21.2
pay 21.1
exchange 20.1
art 18.7
savings 18.7
hundred 18.4
rich 17.7
old 17.4
finances 17.4
economy 16.7
stamp 16.5
states 15.5
coin 15.3
vintage 14.9
franklin 14.8
tile 14.5
transducer 14.4
mail 14.4
bills 13.6
closeup 13.5
loan 13.4
retro 13.1
commerce 13.1
postmark 12.8
president 12.8
banknote 12.6
post 12.4
postage 11.8
funds 11.8
banknotes 11.8
price 11.5
number 11.2
electrical device 10.8
value 10.7
face 10.7
market 10.7
creation 10.6
payment 10.6
change 10.6
united 10.5
investment 10.1
letter 10.1
shield 10.1
postal 9.8
china 9.7
silver 9.7
coins 9.7
profit 9.6
capital 9.5
portrait 9.1
circa 8.9
currencies 8.9
wages 8.8
envelope 8.8
symbol 8.8
device 8.7
ancient 8.7
card 8.5
buy 8.5
tray 8.3
note 8.3
concepts 8
philately 7.9
printed 7.9
economics 7.8
black 7.8
spend 7.8
debt 7.7
england 7.6
sign 7.5
ceramic ware 7.4
armor 7.3
object 7.3
global 7.3
metal 7.2
aged 7.2

Google

Microsoft

text 100
book 99.7
black 74.3
old 62.9

Face analysis

Amazon

AWS Rekognition

Age 45-65
Gender Female, 92.8%
Angry 3.4%
Surprised 2.9%
Happy 7.9%
Sad 27.3%
Disgusted 5%
Confused 4.8%
Calm 48.7%

AWS Rekognition

Age 16-27
Gender Female, 95.3%
Calm 59%
Angry 3.9%
Disgusted 10%
Surprised 3.7%
Confused 3.1%
Sad 6.7%
Happy 13.6%

Feature analysis

Amazon

Person 99.2%
Poster 87%
Painting 76.6%

Captions

Microsoft

an old photo of a book 58.4%
a black and white photo of a book 43%
old photo of a book 42.9%

Text analysis

Amazon

MANET
MORTE
CADET
AGE
CALICEM
TENSIS
ALTER
EIA
PVER,
QVI
CARE
QVI TENSIS MANIBVS NON NISI MORTE CADET
MANIBVS
NON
EIA AGE CARE PVER, CALICEM BIBE,TE MANET ALTER
NISI
faNoy
BIBE,TE
Cal,
u Cal, 1. faNoy
1.
u

Google

EIA AGE CARE PVER, CALICE M BIBE,TE MANET ALTER QVI TENSIS MANIBVS NON NISI MORTE CADET
QVI
PVER,
MANET
ALTER
CADET
AGE
TENSIS
MANIBVS
MORTE
CALICE
BIBE,TE
EIA
CARE
M
NON
NISI