Human Generated Data

Title

Saint John the Baptist Preaching to the People

Date

19th century

People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Domenico Ghirlandaio, Italian 1449 - 1494

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2207

Human Generated Data

Title

Saint John the Baptist Preaching to the People

People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Domenico Ghirlandaio, Italian 1449 - 1494

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2207

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Human 98.3
Person 98.3
Person 98.2
Person 97.8
Person 97.5
Person 97.1
Art 96.2
Painting 96.1
Person 96
Person 95.4
Person 95.3
Person 91.8
Person 91.5
Person 88.4
Person 84.8
Person 78.3
Person 68.6
Text 63.7

Clarifai
created on 2018-02-10

people 100
group 99.9
illustration 99.6
print 99.5
art 99.4
many 99.1
adult 98.8
man 98.3
engraving 98.2
woman 97.5
child 97.1
kneeling 95.2
son 94.2
several 93.3
soldier 92.7
slavery 91.4
baby 90.9
military 90.7
leader 90.2
veil 88.3

Imagga
created on 2018-02-10

graffito 72.9
decoration 54.6
money 35.7
cash 33
paper 30.6
currency 29.6
sketch 28
bank 26.9
finance 26.2
drawing 26
banking 23.9
financial 23.2
grunge 22.1
bill 21.9
dollar 21.3
art 20.6
old 20.2
pay 19.2
exchange 19.1
vintage 19
wealth 18.9
antique 18.3
business 18.2
close 17.7
economy 17.6
note 17.5
retro 17.2
savings 16.8
representation 16.5
design 16.5
ancient 16.4
dollars 15.5
texture 14.6
history 14.3
pattern 13.7
rich 13
banknotes 12.7
one 12.7
bills 12.6
banknote 12.6
us 12.5
payment 11.5
profit 11.5
investment 11
aged 10.9
states 10.6
structure 10.3
graphic 10.2
letter 10.1
salary 9.8
economic 9.7
hundred 9.7
symbol 9.4
decorative 9.2
frame 9.2
style 8.9
memorial 8.8
loan 8.6
save 8.5
capital 8.5
commerce 8.4
backgrounds 8.1
detail 8
wall 8
market 8
textured 7.9
funds 7.8
income 7.8
value 7.8
debt 7.7
notes 7.7
jacket 7.7
floral 7.7
trade 7.7
stamp 7.6
border 7.2
religion 7.2

Google
created on 2018-02-10

Microsoft
created on 2018-02-10

text 99.9
book 94
old 54.9

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 23-38
Gender Female, 54.6%
Confused 45.4%
Angry 45.4%
Sad 47.4%
Calm 51.2%
Disgusted 45.1%
Surprised 45.4%
Happy 45.1%

AWS Rekognition

Age 48-68
Gender Male, 54.1%
Angry 45.6%
Disgusted 45.4%
Sad 51.9%
Calm 46.6%
Surprised 45.1%
Happy 45.1%
Confused 45.3%

AWS Rekognition

Age 57-77
Gender Male, 53.6%
Confused 46.3%
Sad 46.8%
Calm 50.2%
Disgusted 45.3%
Angry 45.7%
Happy 45.2%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Male, 53.4%
Disgusted 45.5%
Sad 46.3%
Happy 46%
Angry 45.5%
Surprised 45.2%
Confused 45.2%
Calm 51.3%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Happy 45%
Surprised 45.1%
Angry 45.1%
Sad 46.8%
Confused 45.1%
Disgusted 45%
Calm 52.9%

AWS Rekognition

Age 26-43
Gender Male, 51.6%
Calm 47.5%
Surprised 45.4%
Sad 50.5%
Angry 45.7%
Disgusted 45.2%
Confused 45.4%
Happy 45.4%

AWS Rekognition

Age 27-44
Gender Male, 51.7%
Calm 48.5%
Surprised 45.3%
Disgusted 47.1%
Angry 45.6%
Sad 46.4%
Confused 45.4%
Happy 46.7%

AWS Rekognition

Age 10-15
Gender Female, 53.7%
Happy 45.1%
Angry 45.1%
Disgusted 45.1%
Calm 49.9%
Sad 49.5%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Female, 55%
Happy 45.2%
Calm 48.7%
Angry 45.7%
Disgusted 45.2%
Sad 48.3%
Confused 45.9%
Surprised 45.9%

AWS Rekognition

Age 45-65
Gender Male, 54.9%
Happy 45.1%
Calm 53.7%
Angry 45.4%
Disgusted 45.1%
Sad 45.4%
Surprised 45.1%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 52.5%
Sad 48%
Surprised 45.7%
Calm 49.5%
Happy 45.4%
Confused 45.5%
Angry 45.8%
Disgusted 45.1%

AWS Rekognition

Age 45-66
Gender Male, 54.9%
Calm 50.5%
Sad 46.1%
Confused 46.1%
Disgusted 45.3%
Happy 45.3%
Surprised 46.2%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Sad 48.1%
Angry 45.5%
Disgusted 45.1%
Happy 45.2%
Calm 50.4%
Confused 45.4%
Surprised 45.3%

AWS Rekognition

Age 17-27
Gender Female, 53.7%
Angry 45.2%
Sad 46.3%
Confused 45.2%
Disgusted 45.2%
Surprised 45.4%
Happy 45.2%
Calm 52.5%

AWS Rekognition

Age 26-43
Gender Male, 52.5%
Angry 45.3%
Happy 45.1%
Disgusted 45.3%
Confused 45.3%
Sad 45.7%
Calm 53%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Happy 45.1%
Calm 48.2%
Angry 45.4%
Disgusted 45.1%
Surprised 45.5%
Sad 50.2%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Happy 46.5%
Sad 48.1%
Surprised 45.5%
Confused 45.4%
Calm 47%
Angry 45.9%
Disgusted 46.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 45.2%
Happy 45.2%
Calm 53%
Disgusted 45.2%
Surprised 45.5%
Sad 45.6%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 53.8%
Calm 45.1%
Surprised 45%
Sad 54.7%
Angry 45%
Disgusted 45%
Confused 45.1%
Happy 45.1%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Calm 47.2%
Angry 45.2%
Confused 45.2%
Surprised 45.1%
Sad 52.1%
Disgusted 45.1%
Happy 45.1%

AWS Rekognition

Age 49-69
Gender Male, 53.3%
Angry 46.4%
Happy 45.1%
Disgusted 45.2%
Confused 45.5%
Sad 50.8%
Calm 46.7%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Surprised 45.4%
Disgusted 45.1%
Sad 53.8%
Angry 45.3%
Happy 45.1%
Confused 45.2%
Calm 45.2%

AWS Rekognition

Age 23-38
Gender Female, 54.5%
Disgusted 45%
Confused 45%
Surprised 45%
Happy 45.1%
Calm 45.1%
Angry 45.1%
Sad 54.7%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Happy 45.2%
Sad 52.8%
Calm 46%
Confused 45.3%
Angry 45.3%
Disgusted 45.2%
Surprised 45.2%

Microsoft Cognitive Services

Age 41
Gender Male

Feature analysis

Amazon

Person 98.3%
Painting 96.1%

Text analysis

Amazon

Batsta
priche
alle
urke
clhe
aul
guu
Jeun
poredea Jeun Dupltile guu priche aul uple
ore
uple
SLro e Batsta clhe alle urke
jonm
Serill
poredea
Dupltile
becar
orelle
domns
oringne
./
dae haicloinlbari
iara Gom ore h ./ 1.. Serill nnta jonm ppu oringne dae haicloinlbari domns becar 1. orelle
iara
SLro
Domi
1..
Gom
nnta
1.
ppu
h
e