Human Generated Data

Title

Elisha Healing the Waters of the Spring

Date

17th century

People

Artist: Nicolas Ryckemans, Flemish c. 1600 - 1670

Classification

Prints

Human Generated Data

Title

Elisha Healing the Waters of the Spring

People

Artist: Nicolas Ryckemans, Flemish c. 1600 - 1670

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 99.4
Person 99.4
Person 99.3
Person 98.4
Painting 97.9
Art 97.9
Person 97.5
Person 96.4
Person 87.2
Person 86
Person 82.6
Archaeology 76.1
Person 73
Person 66.2
Soil 62.1

Clarifai

people 99.9
print 99.9
illustration 99.9
art 99.1
engraving 98.8
man 98.4
adult 98.2
group 97.9
lithograph 97.3
woodcut 94.6
painting 94
etching 92.1
veil 91.1
military 89.9
leader 89.6
many 88
weapon 87.9
war 87.3
kneeling 86.2
Renaissance 84.9

Imagga

sketch 100
drawing 95.6
representation 76.1
old 30
art 27.9
graffito 27
decoration 24.5
ancient 23.4
paper 22.7
history 22.4
sculpture 22.3
vintage 21.5
architecture 19.5
antique 19
money 17.9
currency 17.1
retro 16.4
statue 16.2
cash 15.6
grunge 15.3
us 14.5
finance 14.4
dollar 13.9
culture 13.7
stone 13.1
landmark 12.6
bank 12.5
famous 12.1
travel 12
banking 12
building 11.9
carving 11.8
wealth 11.7
tourism 11.6
bill 11.4
temple 11.4
stamp 11.3
historic 11
business 10.9
symbol 10.8
religion 10.8
financial 10.7
pay 10.6
detail 10.5
artistic 10.4
historical 10.4
monument 10.3
wall 10.3
letter 10.1
texture 9.7
mail 9.6
god 9.6
rich 9.3
city 9.1
close 9.1
design 9
postmark 8.9
postage 8.8
postal 8.8
closeup 8.8
exchange 8.6
old fashioned 8.6
nobody 8.6
capital 8.5
savings 8.4
marble 8.2
one 8.2
pattern 8.2
style 8.2
states 7.7
dollars 7.7
loan 7.7
traditional 7.5
classic 7.4
church 7.4
note 7.4
black 7.2
structure 7.2
textured 7

Google

Microsoft

text 100
book 99.8
person 95.6
clothing 89.5
drawing 84.2
man 70.8
painting 65
old 55.7
sketch 50.8

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Male, 54%
Angry 45%
Calm 45.2%
Sad 54.7%
Surprised 45%
Confused 45%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 35-52
Gender Male, 53.9%
Angry 48%
Happy 45.2%
Confused 45.7%
Disgusted 45.6%
Surprised 45.4%
Calm 48.4%
Sad 46.7%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Confused 45.4%
Happy 45.1%
Disgusted 45.2%
Sad 48.3%
Surprised 45.2%
Calm 49.7%
Angry 46%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Angry 45.2%
Happy 45.3%
Calm 45.1%
Surprised 45.1%
Confused 45.1%
Sad 53.9%
Disgusted 45.2%

AWS Rekognition

Age 27-44
Gender Male, 51%
Surprised 45.1%
Disgusted 45.1%
Happy 50.3%
Angry 45.2%
Confused 45.1%
Sad 49%
Calm 45.1%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Surprised 49.5%
Confused 49.5%
Calm 50.4%
Disgusted 49.5%
Happy 49.5%
Sad 49.5%
Angry 49.5%

AWS Rekognition

Age 38-59
Gender Male, 51.5%
Disgusted 45.3%
Angry 45.7%
Happy 45.1%
Sad 53.1%
Calm 45.4%
Confused 45.2%
Surprised 45.2%

AWS Rekognition

Age 10-15
Gender Female, 50%
Calm 49.6%
Confused 49.6%
Happy 49.5%
Sad 50%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 49.5%
Angry 49.6%
Happy 49.7%
Sad 50%
Calm 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Surprised 49.6%
Calm 49.7%
Angry 49.6%
Sad 49.8%
Happy 49.5%
Confused 49.8%
Disgusted 49.5%

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Confused 46.3%
Happy 45.3%
Disgusted 45.9%
Surprised 45.6%
Sad 46.9%
Calm 49.6%
Angry 45.5%

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Surprised 49.5%
Happy 49.5%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Confused 49.5%
Sad 50.2%

AWS Rekognition

Age 20-38
Gender Female, 52.8%
Angry 45.2%
Disgusted 45.1%
Happy 45.1%
Calm 45.1%
Confused 45.1%
Surprised 45.1%
Sad 54.4%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.7%
Confused 49.6%
Angry 49.5%
Happy 49.5%
Disgusted 50.1%
Calm 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 45.1%
Disgusted 45.1%
Happy 45.1%
Angry 45.2%
Confused 45.1%
Sad 53.2%
Calm 46.2%

Feature analysis

Amazon

Person 99.4%
Painting 97.9%

Captions

Microsoft

an old photo of a person 80.8%
old photo of a person 78.1%
an old photo of a book 50.3%

Text analysis

Amazon

plena
indita
Salis
Ambrofio
nectare
colonus:
Hic
manibus
bibat
Phiala
monftrat
poftguam
Indolet,
aft
arva
Phiala Salis manibus indita vatis
lepida
Hic Ierichunttacus monftrat lepida arva colonus: Regum plena poftguam
aguas
quod
2
Ryekemans
Ierichunttacus
aguas.
Jalas
Indolet, aft Jalas quod bibat ager: aguas. Cap Fontit eft: Ambrofio is nectare ftillat aguas 2
vent.
ftillat
Regum
vatis
C.
eft:
Cap
Fontit
Jchule
Ae Lode vent. C. Ryekemans Jchule
ager:
is
Lode
Ae

Google

vatis
f
Pde
Hic
Ierchuntiacus
lepda
falfas
ager
colonus:
tyFonti
is
quod
aguas.
Regum
Cap
ftillat
2
Phiala
manibus
indta
nectare
arva
ers
aquas
C.Ryckemans fohulp Phiala plena Salis manibus poquam indta vatis f Ambrofo is nectare Pde Iode nsvent Hic Ierchuntiacus monftrat lepda Indolet, aff falfas quod bibat ager aguas. arva colonus: Regum Cap 2 ers tyFonti ftillat aquas 2
fohulp
Salis
Ambrofo
monftrat
Indolet,
aff
bibat
C.Ryckemans
plena
poquam
Iode
nsvent