Human Generated Data

Title

The Seven Sacraments: Baptism

Date

17th-18th century

People

Artist: Louis Chatillon, 1639 - 1734

Artist after: Nicolas Poussin, French 1594 - 1665

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R881NA

Human Generated Data

Title

The Seven Sacraments: Baptism

People

Artist: Louis Chatillon, 1639 - 1734

Artist after: Nicolas Poussin, French 1594 - 1665

Date

17th-18th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R881NA

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Human 99.6
Person 99.6
Person 99.5
Person 98.9
Person 98.9
Person 98.5
Person 98.4
Painting 98.2
Art 98.2
Person 97.8
Person 95
Person 93.8
Person 93.7
Person 91.4
Person 89.9
Person 84.9
Person 64.8
Person 57.8
Archaeology 55.7

Clarifai
created on 2019-11-06

people 100
group 99.9
many 99.6
print 99.5
adult 99.4
art 98.1
illustration 97.9
man 97.5
engraving 96.8
military 94.5
soldier 92.4
lithograph 92.1
wear 92.1
woman 89.8
interaction 89.6
weapon 89.5
war 89
veil 88.4
slavery 88.4
administration 87.1

Imagga
created on 2019-11-06

sculpture 42
statue 37.5
daily 35.1
newspaper 27.3
architecture 25.1
art 24.6
old 23
history 21.5
product 20.3
city 19.9
stone 19.1
tourism 19
landmark 19
monument 18.7
detail 18.5
fountain 17.7
decoration 17.7
religion 17
creation 17
ancient 16.4
structure 16
travel 15.5
culture 15.4
memorial 12.7
historical 12.2
building 12.1
god 11.5
famous 11.2
carving 11.1
church 11.1
symbol 10.8
marble 10.8
religious 10.3
figure 9.7
historic 9.2
traditional 9.1
tourist 9.1
temple 9
facade 8.7
design 8.6
capital 8.5
sky 8.3
antique 8.2
brass 7.9
catholic 7.8
king 7.8
graffito 7.7
spiritual 7.7
spirituality 7.7
vintage 7.4
exterior 7.4
day 7.1

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

text 100
book 99.7
outdoor 98.5
person 96.8
clothing 94.4
painting 94.3
old 94.1
drawing 89.2
group 84.5
man 83.3
white 68.8
people 61.4
posing 52.7
vintage 44.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 53.5%
Angry 45%
Confused 45%
Happy 45.2%
Fear 45%
Calm 54.7%
Disgusted 45%
Sad 45%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Male, 54.4%
Fear 45%
Happy 45%
Sad 53.7%
Disgusted 45%
Angry 45.2%
Confused 45%
Calm 46.1%
Surprised 45%

AWS Rekognition

Age 20-32
Gender Male, 52.6%
Happy 45%
Calm 45.2%
Fear 45.1%
Confused 45%
Surprised 45%
Angry 54.5%
Disgusted 45.1%
Sad 45.1%

AWS Rekognition

Age 21-33
Gender Male, 50.1%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50.2%
Fear 49.5%
Sad 49.5%
Confused 49.5%
Angry 49.7%

AWS Rekognition

Age 20-32
Gender Male, 53.9%
Angry 51.9%
Surprised 45%
Calm 47.7%
Disgusted 45%
Fear 45.1%
Confused 45%
Happy 45.1%
Sad 45.1%

AWS Rekognition

Age 22-34
Gender Male, 54.6%
Disgusted 45%
Fear 45%
Happy 45.5%
Angry 45%
Calm 54.3%
Confused 45%
Surprised 45%
Sad 45.1%

AWS Rekognition

Age 22-34
Gender Male, 50.5%
Angry 49.8%
Happy 49.6%
Fear 49.6%
Calm 50%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 34-50
Gender Male, 50.5%
Fear 49.5%
Happy 49.5%
Calm 50.1%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%
Angry 49.9%
Confused 49.5%

AWS Rekognition

Age 26-42
Gender Male, 53.2%
Calm 54.4%
Sad 45.1%
Confused 45%
Angry 45.1%
Surprised 45.1%
Fear 45%
Happy 45%
Disgusted 45.3%

AWS Rekognition

Age 36-52
Gender Male, 50.4%
Fear 49.5%
Sad 49.5%
Calm 49.5%
Happy 49.5%
Angry 50.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.4%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Calm 50.2%
Angry 49.7%
Surprised 49.5%
Happy 49.5%
Sad 49.5%

AWS Rekognition

Age 23-35
Gender Male, 54.7%
Confused 45.1%
Surprised 45.9%
Calm 49.5%
Happy 45%
Sad 45.2%
Disgusted 45%
Angry 49.2%
Fear 45.1%

AWS Rekognition

Age 3-9
Gender Female, 50.2%
Calm 45.4%
Angry 45.1%
Surprised 45.1%
Fear 45.4%
Happy 50.4%
Disgusted 45%
Confused 45%
Sad 48.5%

AWS Rekognition

Age 22-34
Gender Male, 50.3%
Angry 49.5%
Happy 49.6%
Calm 50.4%
Surprised 49.5%
Sad 49.5%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%

Feature analysis

Amazon

Person 99.6%
Painting 98.2%

Categories

Text analysis

Amazon

e
dilectr
ana
fitins dilectr
fitins
rderie ana que haaplier e
rderie
haaplier
Jamm
que

Google

actum glutem com bptisarehr oeppulur ne hphicate.et erante aertum arlum et defndit piritue parae m yan wr de arlo facta ad file mene dilectur in te ooplacu mili Ly Ordari tand gue hont lepople e fivit haptier.ueme apr lauer tetpriant.le cielurit.et leprit fo la re corplle dime colombe descomdit r uy,et on cntendit ote oe de cd it mon file ion ame jay me en
actum
glutem
com
bptisarehr
oeppulur
ne
hphicate.et
erante
aertum
arlum
et
defndit
piritue
parae
m
yan
wr
de
arlo
facta
ad
file
mene
dilectur
in
te
ooplacu
mili
Ly
Ordari
tand
gue
hont
lepople
e
fivit
haptier.ueme
apr
lauer
tetpriant.le
cielurit.et
leprit
fo
la
re
corplle
dime
colombe
descomdit
r
uy,et
on
cntendit
ote
oe
cd
it
mon
ion
ame
jay
me
en