Human Generated Data

Title

Christ at the Marriage of Cana
Date

1637
People

Artist: Giovanni Battista Vanni, Italian 1599 - 1660

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Francis H. Burr Memorial Fund, S6.8

Human Generated Data

Title

Christ at the Marriage of Cana

People

Artist: Giovanni Battista Vanni, Italian 1599 - 1660

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Date

1637

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Francis H. Burr Memorial Fund, S6.8

Machine Generated Data

Tags

Amazon
created on 2021-04-03

Painting 99
Art 99
Person 76
Human 76
Person 63.8
Person 55.2
Person 55
Person 47

Clarifai
created on 2021-04-03

group 99.9
print 99.9
people 99.9
adult 99.4
engraving 99.4
art 99.2
illustration 99
many 99
etching 97.5
leader 96.9
man 96.8
interaction 96.1
cavalry 94.8
several 91.9
building 91.5
sepia pigment 91
administration 90.7
home 90.5
vehicle 89.7
weapon 88.9

Imagga
created on 2021-04-03

sketch 100
drawing 100
representation 100
map 42
grunge 40.1
old 31.4
vintage 30.6
texture 28.5
antique 25.8
wallpaper 23
art 22.9
retro 21.3
aged 19.9
frame 19.4
pattern 19.2
design 18.6
snow 17
dirty 16.3
graphic 16.1
silhouette 15.7
paper 15.7
style 14.9
forest 14.8
border 14.5
atlas 14.4
worn 14.3
grungy 14.2
leaf 14
ancient 13.9
road 13.6
geography 13.5
travel 13.4
floral 12.8
landscape 12.7
sepia 12.6
crack 12.6
stain 12.5
backdrop 12.4
flower 12.3
textured 12.3
structure 12.3
artistic 12.2
winter 11.9
decorative 11.7
city 11.7
world 11.5
canvas 11.4
page 11.1
wall 11.1
material 10.7
navigation 10.6
detailed 10.6
plan 10.4
cold 10.3
construction 10.3
architecture 10.2
paint 10
element 9.9
torn 9.7
country 9.7
black 9.6
edge 9.6
stained 9.6
aging 9.6
season 9.4
tree 9.2
grain 9.2
effect 9.1
tourism 9.1
painting 9
brown 8.8
creative 8.8
surface 8.8
mottled 8.8
empty 8.6
blank 8.6
capital 8.5
planet 8.5
house 8.4
globe 8.3
backgrounds 8.1
history 8.1
cool 8
text 7.9
grime 7.8
route 7.8
color 7.8
continent 7.8
space 7.8
tour 7.7
decay 7.7
frost 7.7
rustic 7.7
obsolete 7.7
north 7.7
frozen 7.6
damaged 7.6
direction 7.6
weathered 7.6
textures 7.6
nation 7.6
shape 7.5
plants 7.4
gold 7.4
decoration 7.3
building 7.1
trees 7.1

Google
created on 2021-04-03

Photograph 94.1
Line 81.6
Art 81.4
Painting 76.7
Font 76.6
Drawing 69.4
Holy places 66.5
Visual arts 66.5
Line art 66.2
History 66.1
Illustration 65.7
Paper 64.4
Event 64.3
Paper product 63.7
Stock photography 62.8
Printmaking 61.8
Artwork 60.5
Monochrome 58.8
Sketch 57.5

Microsoft
created on 2021-04-03

drawing 99.4
sketch 99
text 97.7
illustration 95.8
art 88.4
book 71
engraving 68.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 47-65
Gender Female, 51.7%
Sad 90.5%
Calm 7.1%
Angry 0.6%
Disgusted 0.6%
Confused 0.5%
Happy 0.4%
Fear 0.3%
Surprised 0.1%

AWS Rekognition

Age 21-33
Gender Female, 76.9%
Calm 92.2%
Sad 4.5%
Angry 2%
Fear 0.5%
Surprised 0.5%
Happy 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 46-64
Gender Male, 94.5%
Calm 62.5%
Happy 31.9%
Disgusted 2.5%
Angry 2.1%
Sad 0.4%
Surprised 0.3%
Fear 0.2%
Confused 0.1%

AWS Rekognition

Age 55-73
Gender Male, 76.4%
Calm 86.1%
Surprised 10.8%
Happy 1.1%
Fear 0.9%
Angry 0.7%
Disgusted 0.2%
Sad 0.1%
Confused 0.1%

AWS Rekognition

Age 45-63
Gender Female, 77.6%
Calm 96.8%
Sad 2.8%
Angry 0.2%
Happy 0.1%
Confused 0%
Surprised 0%
Disgusted 0%
Fear 0%

AWS Rekognition

Age 51-69
Gender Male, 89.1%
Calm 93.6%
Sad 3.1%
Angry 1.8%
Disgusted 1.1%
Confused 0.2%
Happy 0.1%
Surprised 0.1%
Fear 0%

AWS Rekognition

Age 45-63
Gender Male, 94%
Calm 82.8%
Sad 13.3%
Angry 1.9%
Surprised 0.6%
Confused 0.6%
Fear 0.5%
Happy 0.2%
Disgusted 0.1%

AWS Rekognition

Age 19-31
Gender Female, 53.3%
Calm 77.7%
Surprised 8.5%
Sad 6.4%
Happy 3.6%
Confused 2.1%
Disgusted 0.8%
Angry 0.5%
Fear 0.3%

AWS Rekognition

Age 20-32
Gender Male, 81.3%
Calm 96.4%
Sad 1.7%
Angry 0.8%
Confused 0.3%
Happy 0.3%
Surprised 0.2%
Disgusted 0.2%
Fear 0.1%

AWS Rekognition

Age 51-69
Gender Male, 95.2%
Calm 99.2%
Sad 0.3%
Happy 0.2%
Angry 0.1%
Surprised 0.1%
Confused 0.1%
Disgusted 0.1%
Fear 0%

AWS Rekognition

Age 45-63
Gender Female, 50.3%
Calm 97.5%
Angry 1.1%
Happy 0.5%
Surprised 0.3%
Sad 0.2%
Fear 0.2%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 40-58
Gender Male, 94.8%
Angry 85.1%
Calm 6.2%
Fear 3.3%
Surprised 3.3%
Disgusted 0.9%
Sad 0.7%
Happy 0.3%
Confused 0.3%

AWS Rekognition

Age 38-56
Gender Male, 91.5%
Calm 49.8%
Angry 24.7%
Sad 10.5%
Fear 8.8%
Confused 2.4%
Surprised 2%
Happy 1.1%
Disgusted 0.8%

AWS Rekognition

Age 14-26
Gender Female, 72.4%
Calm 51.7%
Sad 33.8%
Disgusted 8.6%
Angry 2.6%
Fear 1.5%
Happy 0.9%
Surprised 0.6%
Confused 0.3%

AWS Rekognition

Age 19-31
Gender Male, 96.1%
Calm 96.3%
Angry 2.3%
Sad 0.7%
Happy 0.3%
Surprised 0.2%
Disgusted 0.1%
Fear 0.1%
Confused 0.1%

AWS Rekognition

Age 22-34
Gender Female, 60.8%
Calm 81%
Sad 7.5%
Happy 3.3%
Angry 2.3%
Disgusted 1.9%
Fear 1.6%
Surprised 1.5%
Confused 0.9%

AWS Rekognition

Age 24-38
Gender Male, 96.2%
Calm 90%
Happy 9.2%
Disgusted 0.5%
Sad 0.1%
Angry 0.1%
Surprised 0%
Confused 0%
Fear 0%

AWS Rekognition

Age 20-32
Gender Male, 88.3%
Calm 95.1%
Sad 3.1%
Angry 0.7%
Surprised 0.4%
Fear 0.2%
Happy 0.2%
Confused 0.1%
Disgusted 0.1%

AWS Rekognition

Age 39-57
Gender Male, 98.6%
Surprised 75.6%
Calm 17.4%
Happy 4.4%
Disgusted 2.2%
Confused 0.1%
Angry 0.1%
Fear 0.1%
Sad 0%

AWS Rekognition

Age 42-60
Gender Male, 97.5%
Angry 94.8%
Calm 4.4%
Sad 0.3%
Happy 0.2%
Surprised 0.1%
Disgusted 0.1%
Fear 0.1%
Confused 0.1%

AWS Rekognition

Age 31-47
Gender Male, 98.3%
Calm 97.2%
Happy 1.3%
Surprised 0.5%
Sad 0.3%
Angry 0.3%
Disgusted 0.3%
Confused 0.2%
Fear 0.1%

AWS Rekognition

Age 41-59
Gender Male, 72.4%
Calm 74.1%
Happy 15.2%
Surprised 6.3%
Fear 1.6%
Angry 1.5%
Sad 0.8%
Confused 0.3%
Disgusted 0.2%

AWS Rekognition

Age 49-67
Gender Female, 52.5%
Calm 81.4%
Happy 14%
Angry 2.8%
Disgusted 0.7%
Sad 0.5%
Surprised 0.4%
Confused 0.2%
Fear 0.1%

AWS Rekognition

Age 30-46
Gender Male, 75.9%
Calm 83.7%
Sad 5.9%
Angry 3%
Confused 2.7%
Happy 2.1%
Disgusted 1.1%
Surprised 0.9%
Fear 0.6%

Feature analysis

Amazon

Painting 99%
Person 76%

Categories

Imagga

paintings art 78.1%
nature landscape 8.9%
streetview architecture 8.9%
text visuals 3.8%

Captions

Microsoft
created on 2021-04-03

a close up of a book 44.2%
an old photo of a person 44.1%
close up of a book 38.6%

Text analysis

Google

SER Sc" La rogia dKA mrabile sopra bulle gualle dagl'atitri he por conivele iror MN dendenar on nahle reyidenza a guerta fomiea operi di.Paolo Veron BVA S ina re pervte graalange talha to ne vide lama iraman per hitarle, he dlena essro luogo per entro i gule a Pierst a nato. ma runcala la peranea d'afelharni querle mue concelte perla ryulia Jano sino aRed Polomia. e fetagso pundraki, ardisco di preintarla a PA nio Sigbando a nbre bonigmarnente dalla mia inahliri gallerse e par che h cet M m bone mestdeime dene le sne pii inulari ato dlelar o Real imants inchinafo profondamennte la rmerista. Di Vne
SER
La
rogia
dKA
sopra
dagl'atitri
reyidenza
a
guerta
di.Paolo
Veron
BVA
re
pervte
he
dlena
essro
gule
d'afelharni
querle
mue
Jano
sino
Sc"
mrabile
bulle
gualle
por
conivele
iror
MN
dendenar
on
nahle
fomiea
operi
S
ina
graalange
talha
to
ne
vide
lama
iraman
per
hitarle,
luogo
entro
i
Pierst
nato.
ma
runcala
la
peranea
concelte
perla
ryulia
aRed
Polomia.
e
fetagso
pundraki,
ardisco
di
preintarla
PA
nio
Sigbando
nbre
bonigmarnente
dalla
mia
inahliri
gallerse
par
che
h
cet
M
m
bone
mestdeime
dene
le
sne
pii
inulari
ato
dlelar
o
Real
imants
inchinafo
profondamennte
rmerista.
Di
Vne