Human Generated Data

Title

Neptune Quelling the Storm

Date

16th century

People

Artist: Marcantonio Raimondi, Italian c. 1470 - c. 1527

Artist after: Raphael, Italian 1483 - 1520

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2513

Human Generated Data

Title

Neptune Quelling the Storm

People

Artist: Marcantonio Raimondi, Italian c. 1470 - c. 1527

Artist after: Raphael, Italian 1483 - 1520

Date

16th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2513

Machine Generated Data

Tags

Amazon
created on 2019-04-01

Text 92.7
Person 92.2
Human 92.2
Person 92
Person 83.3
Art 83
Person 82.6
Person 80.7
Person 79.3
Newspaper 77.4
Person 73
Person 72.8
Person 62.5
Person 61.3
Person 60.6
Person 60.5
Book 59.7
Painting 58.4
Person 51.7
Person 45.5
Person 44.5

Clarifai
created on 2018-04-18

people 99.2
wealth 97.3
currency 97
group 96.7
money 96.6
one 96.5
many 95.1
illustration 95
dollar 94.9
adult 94.7
paper 92.9
man 92
cash 91.1
business 90.1
print 89.8
five 89.2
art 88.6
finance 87.3
bank 86.8
no person 86.6

Imagga
created on 2018-04-18

arabesque 58.3
currency 33.2
money 31.5
paper 29.8
dollar 29.7
finance 27.9
cash 27.5
bank 26.9
business 26.8
newspaper 26.2
art 23.9
collection 23.5
decorative 23.4
cloud 23.3
dollars 23.2
element 23.2
design 23.1
decoration 21.7
backdrop 21.5
decor 21.2
bill 21
product 20.2
wealth 19.8
hundred 19.4
banking 19.3
creation 19.3
artwork 19.2
composition 18.9
antique 18.4
us 18.3
advertising 18.3
vintage 18.2
creative 17.7
brochure 17.6
savings 16.8
associated 16.8
conceptual 16.8
association 16.7
fabric 16.7
definition 16.7
cover 16.7
carpet 16.6
advertise 16.6
advertisement 16.4
exchange 16.2
pattern 15.7
retro 15.6
graphic 15.3
texture 15.3
old 14.7
financial 14.3
idea 14.3
rich 14
continuity 13.8
drapery 13.8
sign 12.8
close 12.6
frame 12.6
loan 12.5
map 12.4
ancient 12.1
grunge 11.9
investment 11.9
franklin 11.8
bills 11.7
capital 11.4
card 11.4
style 11.1
drawing 11.1
border 10.9
one 10.5
number 10.3
representation 10.3
economy 10.2
book 9.9
textured 9.7
letter 9.2
wages 8.8
banknote 8.7
finances 8.7
pay 8.6
ornament 8.6
page 8.4
document 8.4
note 8.3
ornate 8.2
group 8.1
notes 7.7
floral 7.7
closeup 7.4
daily 7.4
sketch 7.3
information 7.1

Google
created on 2018-04-18

text 88.4
history 82.4
black and white 71.9
paper 58.7
art 56.8
book 54.1
picture frame 53.8

Microsoft
created on 2018-04-18

old 43.4
fabric 13.5
stone 4.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Confused 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.7%
Calm 50%
Sad 49.7%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%
Calm 49.8%
Sad 49.8%
Happy 49.5%
Angry 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Sad 50.1%
Happy 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Surprised 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.2%
Angry 49.6%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.5%
Happy 49.8%
Disgusted 49.5%
Angry 49.6%
Calm 49.8%
Sad 49.8%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 4-9
Gender Female, 50.3%
Disgusted 49.5%
Angry 49.5%
Sad 50.3%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Confused 49.6%
Angry 49.6%
Sad 50.2%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Confused 49.6%
Sad 49.8%
Disgusted 49.5%
Angry 49.7%
Surprised 49.5%
Happy 49.5%
Calm 49.8%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Confused 49.5%
Angry 49.7%
Surprised 49.5%
Calm 49.9%
Disgusted 49.6%
Happy 49.5%
Sad 49.7%

AWS Rekognition

Age 10-15
Gender Male, 50.1%
Confused 49.6%
Happy 49.5%
Surprised 49.5%
Sad 50.2%
Angry 49.5%
Calm 49.5%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.5%
Angry 49.6%
Confused 49.6%
Sad 50.2%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.4%
Calm 49.9%
Angry 49.7%
Confused 49.6%
Happy 49.5%
Sad 49.7%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.6%
Happy 49.5%
Sad 50.4%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Person 92.2%
Painting 58.4%

Categories

Text analysis

Amazon

AMOREM
VENVS
MITTIT
VENTOS
IN
CARTHAGINE
LIBYCAS
IMMITTIT
ORAS
DICTIS
CHRA CARTHAGINE
IPSE
GINE
PRECANTE
SOLATVRVENEREM
VENTOS IVNONE
CVI
LIBYCAS EXPEILIT
CHRA
DICTIS PATER IPSE
IVNONE
EXPEILIT
AEOIVS IMMITTIT
IMA
AENEAM
DOLENTEM.
PATER
AEOIVS
SVB
VAGOS
TROLANOSO VAGOS
ASCANII SV SVB
TROLANOSO
RECIPIT
AENEAM RECIPIT AENEAM RECIPIT PVL
DID OA
ASCANII SV
PVL
AENEAM RECIPIT

Google

AEOLVS IMMITTIT VENTOS IVN ONE PRE CANTE SOLATVRVENEREMM DICTIS PATER IPSE DOLENTEM TROIANOSQ VAGO LIBYCAS EXPELLIT LN ORAS. AENEAM RECIPIT PV 5 CHRA CARTHAGI DIDO CVI VENVS ASCANII SVB IMA GINE MITTIT AMOREM
AEOLVS
IMMITTIT
VENTOS
IVN
ONE
PRE
CANTE
SOLATVRVENEREMM
DICTIS
PATER
IPSE
DOLENTEM
TROIANOSQ
VAGO
LIBYCAS
EXPELLIT
LN
ORAS
.
AENEAM
RECIPIT
PV
5
CHRA
CARTHAGI
DIDO
CVI
VENVS
ASCANII
SVB
IMA
GINE
MITTIT
AMOREM