Human Generated Data

Title

The Lord's Supper

Date

19th century

People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Giotto di Bondone, Italian 1266 - 1337

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2192

Human Generated Data

Title

The Lord's Supper

People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Giotto di Bondone, Italian 1266 - 1337

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2192

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Person 99.5
Human 99.5
Person 99.4
Person 99.3
Person 99.1
Person 99.1
Person 99
Person 98.8
Person 98.7
Person 98.5
Person 98.4
Person 98
Text 91.7
Art 86.8
Jury 85.8
Painting 75.7
Drawing 73.5
Person 62.7

Clarifai
created on 2018-02-10

people 100
group 99.8
adult 99.6
many 99.4
man 98.4
leader 98.2
administration 97.7
print 97.3
woman 94.5
art 93.9
veil 90.9
furniture 90
wear 89.3
chair 89
engraving 88.9
one 88.4
illustration 87.8
military 86.6
sit 86.2
war 85.1

Imagga
created on 2018-02-10

vintage 38.9
old 37.6
grunge 34
antique 31.6
paper 29
retro 27.8
container 24.8
ancient 24.2
frame 23.3
texture 22.9
art 22.3
car 22
aged 21.7
design 20.8
border 20.8
money 18.7
drawing 18.5
currency 17.9
structure 17.6
style 16.3
bill 16.2
wallpaper 16.1
material 16.1
empty 15.5
sketch 15.4
bank 15.2
pattern 15
cash 14.6
finance 14.4
business 14
graphic 13.9
historic 13.8
wall 13.2
dollar 13
grain 12.9
wallet 12.9
dirty 12.6
decay 12.5
damaged 12.4
rusty 12.4
vehicle 12.4
decoration 12.3
note 11.9
letter 11.9
grime 11.7
old fashioned 11.4
grungy 11.4
architecture 10.9
paint 10.9
black 10.8
mottled 10.7
fracture 10.7
parchment 10.6
backgrounds 10.5
case 10.4
blank 10.3
rich 10.2
floral 10.2
element 9.9
arabesque 9.9
history 9.8
representation 9.8
stains 9.7
crumpled 9.7
crack 9.7
map 9.6
us 9.6
exchange 9.5
textures 9.5
banking 9.2
decorative 9.2
stamp 8.8
ragged 8.8
card 8.7
text 8.7
states 8.7
memorial 8.7
pay 8.6
ornament 8.6
mail 8.6
tile 8.4
tray 8.3
backdrop 8.2
one 8.2
brass 8
financial 8
postage 7.9
tracery 7.8
faded 7.8
travel 7.7
spot 7.7
post 7.6
closeup 7.4
symbol 7.4
brown 7.4
bag 7.3
detail 7.2
wealth 7.2
decor 7.1

Google
created on 2018-02-10

text 87.1
history 80.6
font 54.2
artwork 52.7

Microsoft
created on 2018-02-10

old 59.5
altar 28.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Happy 46%
Calm 48.2%
Confused 45.4%
Angry 45.5%
Sad 49.5%
Disgusted 45.2%
Surprised 45.2%

AWS Rekognition

Age 48-68
Gender Male, 54%
Surprised 45.3%
Happy 45.4%
Sad 49.5%
Disgusted 45.3%
Confused 45.4%
Calm 48.2%
Angry 46%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Sad 48%
Calm 49.3%
Happy 45.9%
Angry 45.6%
Confused 45.6%
Surprised 45.4%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Happy 45.2%
Surprised 45.3%
Angry 45.4%
Calm 52.8%
Disgusted 45.1%
Sad 45.7%
Confused 45.4%

AWS Rekognition

Age 57-77
Gender Male, 50.8%
Surprised 45.2%
Angry 45.8%
Happy 45.4%
Sad 50.9%
Disgusted 45.2%
Confused 45.2%
Calm 47.3%

AWS Rekognition

Age 48-68
Gender Male, 52.6%
Surprised 45.9%
Sad 46.5%
Disgusted 45.5%
Calm 48.7%
Happy 47.2%
Angry 45.7%
Confused 45.5%

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Happy 45%
Disgusted 45%
Confused 45.1%
Calm 54.5%
Angry 45.1%
Sad 45.2%
Surprised 45%

AWS Rekognition

Age 27-44
Gender Female, 53.7%
Happy 45.3%
Surprised 45.3%
Sad 47.1%
Angry 50.3%
Disgusted 45.2%
Confused 45.2%
Calm 46.7%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Surprised 45.1%
Confused 45.2%
Calm 46.5%
Happy 45.4%
Disgusted 46.4%
Angry 48.1%
Sad 48.4%

AWS Rekognition

Age 45-63
Gender Male, 52.7%
Confused 45.2%
Happy 46.3%
Surprised 45.2%
Angry 45.4%
Sad 51.1%
Calm 46.6%
Disgusted 45.3%

AWS Rekognition

Age 30-47
Gender Male, 54.5%
Happy 45.2%
Disgusted 45.1%
Angry 45.3%
Calm 53.5%
Surprised 45.3%
Sad 45.2%
Confused 45.3%

Feature analysis

Amazon

Person 99.5%
Painting 75.7%

Text analysis

Amazon

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