Human Generated Data

Title

Saint Peter Preaching to the Heathen; Saint Peter Baptizing the Heathen
Date

19th century
People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Filippo Lippi, Italian c. 1406 - 1469
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2186

Human Generated Data

Title

Saint Peter Preaching to the Heathen; Saint Peter Baptizing the Heathen

People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Filippo Lippi, Italian c. 1406 - 1469

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2186

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Human 99.7
Person 99.7
Person 99.6
Person 99.6
Person 98.7
Person 98.5
Person 96.7
Art 95.3
Person 94
Painting 92.5
Person 92.5
Drawing 84.1
Person 77.4
Person 76.1
Person 74.4
Text 70.6
Sketch 55.9
Person 55.2

Clarifai
created on 2018-02-10

people 100
illustration 99.8
group 99.5
art 99.5
print 99.2
adult 98.9
man 98.1
engraving 97.4
woman 97.3
leader 93.9
portrait 91
veil 90.1
kneeling 89.6
etching 89
book bindings 88.9
administration 88.3
religion 86.8
child 86.7
book 85.9
wear 85.7

Imagga
created on 2018-02-10

sketch 100
drawing 82.3
representation 65.4
jacket 37.5
paper 29.8
wrapping 28.5
money 28.1
cash 25.6
currency 25.1
old 23.7
grunge 23
bank 22.4
vintage 21.5
retro 21.3
art 20.3
covering 19.2
dollar 18.6
financial 17.8
banking 17.5
antique 17.3
ancient 17.3
wealth 17.1
finance 16.1
note 15.6
bills 15.5
dollars 15.5
exchange 15.3
bill 15.2
business 15.2
savings 14.9
close 14.3
pay 13.4
texture 13.2
history 12.5
symbol 12.1
design 11.9
frame 11.7
rich 11.2
aged 10.9
states 10.6
pattern 10.3
black 10.2
banknotes 9.8
banknote 9.7
capital 9.5
dirty 9
style 8.9
newspaper 8.8
sculpture 8.8
us 8.7
economy 8.3
letter 8.3
backdrop 8.2
border 8.1
stamp 8.1
closeup 8.1
religion 8.1
detail 8.1
envelope 7.9
artistic 7.8
daily 7.8
economic 7.8
blank 7.7
finances 7.7
payment 7.7
damaged 7.6
united 7.6
grungy 7.6
buy 7.5
commerce 7.5
one 7.5
element 7.4
page 7.4
brown 7.4
investment 7.3
backgrounds 7.3
graphic 7.3
architecture 7

Google
created on 2018-02-10

text 87.9
history 82.9
art 74.9
black and white 67.2
artwork 62.3
drawing 60.4
ancient history 58.9
figure drawing 55.3
human behavior 53.9
visual arts 51

Microsoft
created on 2018-02-10

text 98.3
posing 88.7
old 86.3
vintage 48.5

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 20-38
Gender Male, 53.5%
Confused 45.4%
Calm 49.6%
Happy 45.5%
Disgusted 46.2%
Angry 45.8%
Sad 47%
Surprised 45.6%

AWS Rekognition

Age 20-38
Gender Female, 53.9%
Happy 45.4%
Surprised 45.7%
Angry 46%
Calm 48.8%
Disgusted 46.6%
Sad 46.7%
Confused 45.9%

AWS Rekognition

Age 35-52
Gender Female, 51.6%
Angry 45.3%
Happy 45.1%
Calm 45.1%
Surprised 45.1%
Sad 54.1%
Disgusted 45.2%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Happy 46.3%
Calm 49.1%
Angry 45.7%
Disgusted 45.6%
Sad 47.4%
Confused 45.4%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Angry 47.4%
Happy 46.3%
Disgusted 45.5%
Confused 45.8%
Sad 48%
Calm 45.8%
Surprised 46.1%

AWS Rekognition

Age 26-43
Gender Female, 53%
Confused 45%
Sad 54.8%
Surprised 45%
Angry 45%
Calm 45.2%
Happy 45%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Male, 51.8%
Disgusted 45%
Sad 54.4%
Surprised 45%
Angry 45.2%
Happy 45%
Calm 45.2%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Sad 45.1%
Happy 45.1%
Calm 54.2%
Surprised 45.1%
Disgusted 45.3%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 48-68
Gender Male, 53%
Sad 46%
Angry 45.5%
Disgusted 45.2%
Happy 45.5%
Calm 50.9%
Confused 46.2%
Surprised 45.9%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Confused 45.5%
Angry 45.7%
Surprised 45.7%
Happy 47.4%
Calm 48.8%
Disgusted 45.4%
Sad 46.7%

AWS Rekognition

Age 14-25
Gender Female, 54%
Surprised 45%
Sad 54.6%
Disgusted 45.1%
Calm 45.2%
Happy 45.1%
Angry 45.1%
Confused 45%

AWS Rekognition

Age 35-52
Gender Female, 54.1%
Angry 45.9%
Happy 45.8%
Calm 48.7%
Surprised 45.8%
Sad 47.2%
Disgusted 45.9%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Female, 53.9%
Happy 45.1%
Angry 45.3%
Calm 48.5%
Confused 45.3%
Disgusted 45.2%
Sad 50.3%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Male, 50.8%
Disgusted 45.1%
Surprised 45.1%
Angry 45.1%
Calm 53.4%
Happy 45.1%
Sad 46.1%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Happy 45.3%
Angry 47.2%
Disgusted 48.7%
Sad 46.7%
Surprised 45.5%
Confused 45.6%
Calm 46%

AWS Rekognition

Age 29-45
Gender Male, 54.2%
Confused 45.3%
Calm 49.4%
Surprised 46%
Sad 46.1%
Happy 46.3%
Disgusted 45.8%
Angry 46.1%

AWS Rekognition

Age 35-52
Gender Female, 51.7%
Disgusted 45.5%
Surprised 45.5%
Angry 45.5%
Happy 45.1%
Sad 47%
Confused 45.6%
Calm 50.9%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 45.3%
Happy 45%
Disgusted 45%
Confused 45%
Angry 45%
Sad 54.5%
Surprised 45%

AWS Rekognition

Age 35-52
Gender Female, 50.7%
Happy 45.9%
Disgusted 45.3%
Angry 45.5%
Confused 45.3%
Calm 45.8%
Surprised 45.3%
Sad 51.9%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Happy 45.4%
Surprised 45.3%
Disgusted 45.3%
Sad 48.6%
Angry 46%
Confused 45.3%
Calm 49%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Happy 45.2%
Surprised 45.2%
Sad 45.4%
Angry 45.3%
Disgusted 45.2%
Confused 45.4%
Calm 53.4%

AWS Rekognition

Age 20-38
Gender Female, 54%
Disgusted 45.1%
Sad 53.6%
Happy 45.1%
Surprised 45.1%
Calm 45.8%
Angry 45.1%
Confused 45.2%

AWS Rekognition

Age 23-38
Gender Female, 51.3%
Calm 45.5%
Angry 47.9%
Surprised 45.1%
Sad 51.2%
Disgusted 45.1%
Happy 45.1%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Happy 47.5%
Sad 51.5%
Calm 45.3%
Confused 45.1%
Disgusted 45.1%
Surprised 45.2%
Angry 45.4%

AWS Rekognition

Age 4-9
Gender Male, 88.8%
Confused 2.6%
Sad 13.6%
Disgusted 0.5%
Happy 1%
Surprised 2.4%
Angry 5%
Calm 74.8%

AWS Rekognition

Age 23-38
Gender Male, 54.8%
Angry 45.4%
Calm 52.2%
Confused 45.3%
Surprised 45.2%
Sad 46.3%
Disgusted 45.2%
Happy 45.3%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Happy 45.9%
Calm 45.3%
Angry 45.5%
Disgusted 45.3%
Sad 52.3%
Surprised 45.3%
Confused 45.4%

AWS Rekognition

Age 45-63
Gender Male, 54.8%
Surprised 45.4%
Confused 45.5%
Calm 52.1%
Happy 45.2%
Disgusted 45.1%
Angry 45.4%
Sad 46.4%

AWS Rekognition

Age 26-44
Gender Female, 51.7%
Happy 45%
Confused 45%
Angry 45%
Surprised 45%
Disgusted 45.1%
Calm 54.8%
Sad 45%

AWS Rekognition

Age 57-77
Gender Male, 54.8%
Angry 45.6%
Happy 45.9%
Disgusted 45.1%
Calm 51.7%
Sad 45.9%
Surprised 45.5%
Confused 45.3%

Microsoft Cognitive Services

Age 48
Gender Male

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 40
Gender Female

Feature analysis

Amazon

Person 99.7%

Categories

Imagga

paintings art 99.7%
streetview architecture 0.2%

Text analysis

Amazon

des
Carmes
che
nolla
Carmine
priche
rl
fatterne freda
dh ddl Pontare giu lans des Carmes
giu
jresco
ddl
tlyp
yptijpse
Piorre
Ptura
Pontare
lans
Peleo che fatterne freda ayl: Salolatril Piorre yptijpse rl priche wllI Sklatirs
ylise
Salolatril
Bye
dh
ayl:
Jreyme
Ptura jresco 4 tlyp nolla Cursn Carmine Jreyme ylise isee Pagif
Sklatirs
Cursn
ponie Bye
Peleo
ponie
isee
Pagif
wllI
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