Human Generated Data

Title

Jupiter Flanked by the Three Muses and the Three Graces

Date

16th century

People

Artist: Battista Franco, Italian 1493 - 1566

Classification

Prints

Human Generated Data

Title

Jupiter Flanked by the Three Muses and the Three Graces

People

Artist: Battista Franco, Italian 1493 - 1566

Date

16th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Human 97.7
Person 97.7
Art 97.5
Painting 97.5
Person 96.9
Person 96.7
Person 93.5
Person 93.4
Person 90.4
Person 89.1
Person 89
Archaeology 68.2

Clarifai

people 100
art 99.9
illustration 99.8
print 99.6
group 99.6
adult 99.3
man 98.9
engraving 98.8
weapon 97.1
sword 96.1
two 94.2
leader 92.8
soldier 92.2
interaction 92
painting 91.8
woman 91.7
Renaissance 91.5
cavalry 90.8
kneeling 90.5
allegory 90.5

Imagga

sketch 72.7
drawing 58.8
representation 46.4
art 29
ancient 24.2
old 22.3
paper 22
vintage 20.7
sculpture 20.1
currency 19.8
antique 19
retro 18.9
architecture 18.8
money 18.7
history 17.9
cash 17.4
grunge 15.3
decoration 15.2
dollar 14.9
temple 14.5
statue 14.4
wealth 14.4
finance 14.4
religion 14.4
financial 13.4
carving 13.2
savings 13.1
artistic 13
stone 12.9
banking 12.9
bank 12.7
treasury 12.5
design 12.2
stamp 11.8
business 11.5
economy 11.1
culture 11.1
frame 10.6
travel 10.6
bill 10.5
figure 10.4
depository 10.3
close 10.3
monument 10.3
pattern 10.3
rich 10.2
letter 10.1
investment 10.1
structure 10
landmark 9.9
comic book 9.9
texture 9.7
dollars 9.7
detail 9.7
us 9.6
mail 9.6
graffito 9.3
memorial 9.2
aged 9.1
one 9
postmark 8.9
closeup 8.8
symbol 8.8
brass 8.5
historical 8.5
religious 8.4
famous 8.4
note 8.3
historic 8.3
painting 8.1
book jacket 8.1
postage 7.9
postal 7.9
carved 7.8
facility 7.8
bills 7.8
loan 7.7
profit 7.7
exchange 7.6
post 7.6
capital 7.6
artwork 7.3
card 7.3
stucco 7.3
china 7.3
building 7.1
envelope 7

Google

Microsoft

text 99.1
book 98.3
drawing 93.3
sketch 91.4
person 90.6
cartoon 74.6
old 64.3
horse 52.1
clothing 52.1

Face analysis

Amazon

AWS Rekognition

Age 17-29
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.5%
Sad 49.5%
Calm 50%
Angry 49.9%
Fear 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50.7%
Sad 45.4%
Calm 47.2%
Disgusted 45.1%
Angry 52.2%
Confused 45%
Surprised 45%
Happy 45%
Fear 45%

AWS Rekognition

Age 22-34
Gender Male, 53.9%
Angry 45.2%
Disgusted 45%
Happy 45%
Sad 54.4%
Calm 45.3%
Fear 45.1%
Confused 45%
Surprised 45%

AWS Rekognition

Age 39-57
Gender Male, 50.5%
Fear 49.5%
Happy 49.5%
Sad 49.5%
Disgusted 49.5%
Calm 50.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 20-32
Gender Male, 54.8%
Calm 48.6%
Angry 45.1%
Disgusted 45.1%
Sad 50.7%
Surprised 45%
Fear 45.2%
Confused 45%
Happy 45.3%

Feature analysis

Amazon

Person 97.7%
Painting 97.5%

Captions

Microsoft

an old photo of a person 82%
old photo of a person 79.9%
an old photo of two men 66.2%