Human Generated Data

Title

Giving Drink to the Thirsty

Date

c. 1665 - 1670

People

Artist: S├ębastien Bourdon, French 1616 - 1671

Classification

Prints

Human Generated Data

Title

Giving Drink to the Thirsty

People

Artist: S├ębastien Bourdon, French 1616 - 1671

Date

c. 1665 - 1670

Classification

Prints

Machine Generated Data

Tags

Amazon

Art 98.8
Painting 98.8
Human 98
Person 98
Person 88.3
Person 82.6
Person 78.5
Person 76.2
Person 74.1
Person 65.5
Person 62.7
Person 62.1
Person 54.8
Person 49.4

Clarifai

people 100
group 100
print 99.6
many 99.6
adult 99.5
art 99.5
engraving 99
leader 97.2
man 97
soldier 95.7
military 95.4
several 95.2
woman 94.4
interaction 94.1
war 93.6
illustration 93.1
administration 92.4
group together 90.7
vehicle 89.4
cavalry 87.3

Imagga

statue 37.5
cemetery 31
architecture 25.2
stone 22.4
city 21.6
sculpture 21.4
travel 20.4
military 19.3
building 18.7
fountain 18.2
structure 18.1
old 17.4
tourism 17.3
landmark 16.3
memorial 16.2
history 16.1
monument 15.9
snow 15.7
soldier 15.6
ancient 14.7
danger 13.6
war 13.5
sky 13.4
weapon 13.2
army 12.7
uniform 12.3
gun 12.2
tree 11.4
camouflage 11.2
famous 11.2
religion 10.8
gravestone 10.7
male 10.6
private 10.5
culture 10.3
protection 10
landscape 9.7
man 9.4
town 9.3
outdoor 9.2
historic 9.2
color 8.9
art 8.6
graffito 8.4
temple 8.2
vacation 8.2
national 8.2
weather 8.1
palace 8
people 7.8
facade 7.7
rifle 7.6
historical 7.5
tourist 7.5
east 7.5
outdoors 7.5
park 7.4
symbol 7.4
trees 7.1
to 7.1
day 7.1

Google

Microsoft

text 98.5
drawing 97.3
sketch 94.1
outdoor 93.1
old 88.7
person 87.5
illustration 85.6
book 70.3
white 69.5
black 65.6
engraving 64.2
painting 63.7
cartoon 61
clothing 60.3
vintage 26
crowd 0.7

Face analysis

Amazon

Google

AWS Rekognition

Age 26-42
Gender Male, 94.2%
Calm 84.1%
Fear 4.9%
Sad 4.2%
Angry 3.2%
Happy 1.7%
Surprised 1%
Disgusted 0.6%
Confused 0.1%

AWS Rekognition

Age 43-61
Gender Male, 97.6%
Calm 89.8%
Sad 7.2%
Happy 1.2%
Angry 0.5%
Disgusted 0.4%
Surprised 0.3%
Confused 0.3%
Fear 0.3%

AWS Rekognition

Age 49-67
Gender Male, 88.5%
Sad 54.5%
Calm 42.6%
Happy 0.9%
Confused 0.7%
Angry 0.7%
Surprised 0.3%
Fear 0.3%
Disgusted 0.2%

AWS Rekognition

Age 36-54
Gender Male, 98.1%
Calm 99.6%
Sad 0.2%
Angry 0.1%
Happy 0%
Disgusted 0%
Fear 0%
Surprised 0%
Confused 0%

AWS Rekognition

Age 24-38
Gender Male, 71.4%
Calm 52.6%
Happy 40.1%
Sad 2.3%
Angry 1.9%
Disgusted 1.4%
Confused 0.8%
Surprised 0.6%
Fear 0.4%

AWS Rekognition

Age 23-35
Gender Male, 80.4%
Calm 86.6%
Happy 6.2%
Sad 5.3%
Angry 1.3%
Fear 0.2%
Disgusted 0.2%
Confused 0.1%
Surprised 0.1%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Painting 98.8%
Person 98%

Captions

Microsoft

a vintage photo of a group of people in front of a building 89.7%
a vintage photo of a group of people standing in front of a building 86.7%
a vintage photo of a group of people sitting in front of a building 85.1%

Text analysis

Amazon

I.
I. otarr.
otarr.
icanita.
u

Google

Me
n
Rapt,
Marchioni
Kechrit.
fi
woii
allmtiuni
pfiiom
Pari
da
ayaa
kulpnr,
icanitg.
II.
.
Reg.a.
Regi
al
Prarferte,
in
itimnhernd
Regis
rue
II. Patare, ikentes, . Reg.a. + Me n Tr.Toan Rapt, Colbert. Marchioni defeigmelay Kechrit. Regi al ol fi niny. A dificioonumg, woii Prarferte, ner nen in allmtiuni pfiiom ievetorr. Cincta latellitia r Tim pem. itimnhernd Ca Priilegio Regis si vnda Pari da rr Marine rue ayaa ipvnaar Shastian Gordon tonpetieais et deudpiturr. tordamis Retor Pinit, kulpnr, icanitg.
+
Tr.Toan
defeigmelay
ner
pem.
Ca
ipvnaar
Shastian
tonpetieais
deudpiturr.
Pinit,
Patare,
A
dificioonumg,
latellitia
r
si
Gordon
et
Retor
ikentes,
Colbert.
ol
niny.
nen
ievetorr.
Cincta
Tim
Priilegio
vnda
rr
Marine
tordamis