Human Generated Data

Title

Exorcism
Date

17th century
People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Andrea Boscoli, Italian c. 1560 - c. 1607
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.55.3

Human Generated Data

Title

Exorcism

People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Andrea Boscoli, Italian c. 1560 - c. 1607

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.55.3

Machine Generated Data

Tags

Amazon
created on 2019-04-01

Person 85.6
Human 85.6
Person 85.2
Art 83.9
Bird 79
Animal 79
Painting 72.9
Rug 62
Person 61.1
Person 57.4

Clarifai
created on 2018-04-18

people 99.7
illustration 97.4
art 96.7
engraving 96.6
print 94.2
man 93.2
group 92.5
adult 91.2
leader 88.7
religion 86.2
saint 81.7
royalty 79.3
crown 78.2
administration 78
one 77.8
old 76.4
painting 75.6
many 74.3
visuals 72.1
no person 70.1

Imagga
created on 2018-04-18

art 39.5
stucco 25.8
old 25.8
religion 25.1
mosaic 23.5
antique 23.2
sketch 22.3
design 22
pattern 21.2
ancient 20.8
vintage 20.7
architecture 19.8
decoration 18.9
texture 18.1
drawing 18
ornament 17.2
representation 17.1
detail 16.9
paper 16.5
gold 16.4
history 16.1
arabesque 15.8
retro 15.6
culture 15.4
relief 14.6
church 13.9
ornate 13.7
money 13.6
style 13.4
traditional 13.3
palace 12.9
bank 12.5
decorative 12.5
god 12.4
golden 12
travel 12
grunge 11.9
historic 11.9
tile 11.9
structure 11.9
currency 11.7
map 11.4
prayer rug 11.4
wall 11.1
sculpture 10.5
ornamental 10.4
religious 10.3
dollar 10.2
finance 10.1
frame 10.1
symbol 10.1
building 10.1
color 10
landmark 9.9
middle 9.6
rug 9.1
wealth 9
interior 8.8
decor 8.8
icon 8.7
mosque 8.7
royal 8.7
loan 8.6
close 8.6
business 8.5
east 8.4
classic 8.4
banking 8.3
letter 8.3
cash 8.2
aged 8.1
covering 8.1
financial 8
textured 7.9
colorful 7.9
empire 7.9
artistic 7.8
eastern 7.8
dollars 7.7
spirituality 7.7
floral 7.7
painted 7.6
sign 7.5
rich 7.5
element 7.4
house 7.4
exterior 7.4
shape 7.4
graphic 7.3
crown 7.3
border 7.2

Google
created on 2018-04-18

history 85.7
black and white 85.4
art 68.8
arch 66.8
ancient history 62.9
middle ages 59.8
artwork 59
monochrome 57.6
stock photography 57.2
tapestry 55.1
picture frame 53.8

Microsoft
created on 2018-04-18

text 99.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Female, 52%
Sad 52.8%
Confused 45.2%
Calm 45.7%
Disgusted 45.1%
Angry 45.8%
Happy 45.1%
Surprised 45.4%

AWS Rekognition

Age 60-90
Gender Female, 54.1%
Sad 51.4%
Confused 45.5%
Happy 45.3%
Angry 45.3%
Calm 47.1%
Disgusted 45.1%
Surprised 45.3%

AWS Rekognition

Age 27-44
Gender Male, 53.6%
Angry 45.2%
Happy 45.3%
Calm 53.5%
Disgusted 45.3%
Confused 45.3%
Sad 45.4%
Surprised 45.1%

AWS Rekognition

Age 60-90
Gender Male, 51.3%
Confused 45.2%
Angry 45.3%
Sad 47.8%
Calm 51.1%
Happy 45.3%
Surprised 45.3%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Calm 48.5%
Happy 45.2%
Sad 49.6%
Confused 45.5%
Angry 45.9%
Surprised 45.2%
Disgusted 45.1%

AWS Rekognition

Age 26-44
Gender Female, 54.7%
Confused 45.4%
Surprised 46.7%
Calm 47.4%
Sad 49.8%
Angry 45.4%
Happy 45.2%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.4%
Happy 45.1%
Angry 45.2%
Confused 45.2%
Sad 53.6%
Disgusted 45.4%
Surprised 45.2%
Calm 45.3%

AWS Rekognition

Age 57-77
Gender Male, 53.7%
Disgusted 45.3%
Calm 51.2%
Sad 46.3%
Confused 45.6%
Happy 45.2%
Surprised 45.7%
Angry 45.7%

AWS Rekognition

Age 19-36
Gender Female, 54.1%
Surprised 45.8%
Happy 45%
Calm 45.4%
Angry 45.3%
Confused 45.1%
Sad 53.4%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 53.9%
Confused 45.2%
Sad 53%
Surprised 45.2%
Happy 45.9%
Disgusted 45.2%
Calm 45.4%
Angry 45.3%

AWS Rekognition

Age 9-14
Gender Female, 50.8%
Angry 46.3%
Disgusted 45.2%
Sad 47.8%
Calm 48.1%
Happy 46.4%
Confused 45.6%
Surprised 45.7%

AWS Rekognition

Age 20-38
Gender Female, 51.1%
Disgusted 45.6%
Confused 45.5%
Calm 47.8%
Angry 45.8%
Surprised 47.6%
Sad 47.4%
Happy 45.3%

AWS Rekognition

Age 19-36
Gender Male, 51.6%
Sad 47.4%
Confused 45.4%
Calm 45.7%
Disgusted 47.3%
Angry 47.4%
Happy 46.2%
Surprised 45.7%

AWS Rekognition

Age 11-18
Gender Female, 54.5%
Surprised 45.9%
Confused 46.1%
Happy 46%
Angry 46.3%
Calm 47.7%
Disgusted 45.9%
Sad 47.1%

AWS Rekognition

Age 26-44
Gender Female, 51%
Confused 45.7%
Surprised 45.8%
Calm 50.6%
Sad 46.4%
Angry 46.1%
Happy 45.1%
Disgusted 45.2%

AWS Rekognition

Age 20-38
Gender Female, 53.6%
Sad 46.9%
Angry 45.3%
Surprised 45.2%
Happy 45.5%
Calm 51.8%
Disgusted 45.1%
Confused 45.2%

AWS Rekognition

Age 23-38
Gender Female, 52.7%
Happy 45.4%
Confused 45.6%
Surprised 47%
Calm 48.1%
Disgusted 45.1%
Angry 46%
Sad 47.8%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Calm 45.7%
Surprised 45.1%
Confused 45.1%
Angry 53%
Happy 45%
Sad 46.1%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Female, 53.5%
Disgusted 45.2%
Angry 45.3%
Sad 45.3%
Calm 45.5%
Happy 45.4%
Surprised 52.1%
Confused 46.1%

AWS Rekognition

Age 48-68
Gender Female, 52.2%
Angry 46%
Calm 45.9%
Confused 45.1%
Surprised 45.3%
Sad 45.4%
Disgusted 45.4%
Happy 51.9%

AWS Rekognition

Age 20-38
Gender Female, 51.4%
Surprised 45.2%
Calm 50.5%
Disgusted 46.2%
Sad 46.9%
Happy 45.2%
Angry 45.7%
Confused 45.3%

AWS Rekognition

Age 10-15
Gender Male, 83.7%
Confused 18.8%
Calm 3.6%
Disgusted 13.7%
Surprised 6.8%
Sad 48.9%
Angry 7.1%
Happy 1.1%

AWS Rekognition

Age 23-38
Gender Female, 53.6%
Happy 48.4%
Disgusted 46.6%
Sad 46.8%
Angry 45.7%
Surprised 46%
Calm 46.2%
Confused 45.3%

AWS Rekognition

Age 10-15
Gender Male, 50.3%
Confused 45.4%
Happy 45.4%
Disgusted 45.5%
Angry 45.4%
Calm 49.7%
Sad 48.1%
Surprised 45.4%

Microsoft Cognitive Services

Age 23
Gender Female

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 62
Gender Female

Feature analysis

Amazon

Person 85.6%
Bird 79%
Rug 62%

Categories

Imagga

paintings art 88.5%
streetview architecture 6.5%
nature landscape 4.7%
text visuals 0.2%

Captions

Microsoft
created on 2018-04-18

a close up of a book 58.5%
close up of a book 52.8%
a close up of text on a book 43.4%

Text analysis

Amazon

Christofono
Christofono Bronzini
Bronzini
d
Caudatario
all
le
dr
dato
dato antmo.
Al malto
V.
Lo. all le
antmo.
670
m
Al malto A m rllre
rllre
Lo.
A

Google

di
Se
intaglio
meritn
cose
ed
Madonna
Mon
quale
e
si
sia
a
gradir
li,
riguardando
piu
alt
che
oue
magaore,
bacin
le
mani
renne
30
eruitore
Al molto Tile m Reuer do Si a cortria di V Se D Christotono Brongini Caudatario dell: E ard Medici la sua, honta unitamte mi hanno dato antno e dedicht questo intaglio della deu meritn cose prù deane ed dlmi Madonna di Mon Summano quale e si sia a gradir li, riguardando piu alt affeto, che a oue ligo magaore, ele bacin le mani renne 30 eruitore deunt Faluni D.D
Al
molto
Tile
m
Reuer
do
Si
cortria
V
D
Christotono
Brongini
Caudatario
dell:
E
ard
Medici
la
sua,
honta
unitamte
mi
hanno
dato
antno
dedicht
questo
della
deu
prù
deane
dlmi
Summano
affeto,
ligo
ele
deunt
Faluni
D.D