Human Generated Data

Title

The Virgin Mounting the Stairs of the Temple

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, G2203

Human Generated Data

Title

The Virgin Mounting the Stairs of the Temple

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, G2203

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Human 99.4
Person 99.4
Person 99
Person 98.5
Person 97.9
Person 95.7
Person 95.6
Art 94.7
Painting 94.7
Person 93.8
Person 93.1
Person 91.5
Person 89.1
Person 73.9
Text 73.4
Person 68.1
Person 65.5
Person 53.1

Clarifai
created on 2018-02-10

people 100
group 99.9
many 99.2
print 98.4
man 98.4
adult 98.1
art 97.8
illustration 97.3
administration 95.9
woman 95.6
engraving 95.3
leader 93.6
lithograph 92.2
crowd 91.2
group together 90.7
several 89.7
child 87.5
wear 85.9
military 84.1
music 82.8

Imagga
created on 2018-02-10

sketch 100
representation 100
drawing 100
grunge 19.6
old 19.5
vintage 18.2
landscape 16.4
art 15.6
architecture 14.1
tree 13.8
history 13.4
winter 12.8
snow 12.4
retro 12.3
forest 12.2
texture 11.8
antique 11.3
ancient 11.2
season 10.9
paint 10.9
house 10.9
scene 10.4
sky 10.2
paper 10.2
design 10.1
city 10
structure 10
aged 9.9
trees 9.8
rural 9.7
black 9.6
travel 9.1
symbol 8.7
culture 8.5
money 8.5
historical 8.5
lake 8.2
park 8.2
environment 8.2
outdoors 8.2
pattern 8.2
style 8.2
painting 8.1
natural 8
building 7.9
business 7.9
urban 7.9
stamp 7.7
woods 7.6
old fashioned 7.6
silhouette 7.4
mountains 7.4
letter 7.3
backgrounds 7.3
dirty 7.2
currency 7.2
mountain 7.1

Google
created on 2018-02-10

Microsoft
created on 2018-02-10

text 99.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 51.1%
Confused 45.3%
Calm 50.8%
Surprised 45.3%
Sad 47.2%
Happy 45.6%
Disgusted 45.2%
Angry 45.6%

AWS Rekognition

Age 20-38
Gender Male, 51.5%
Happy 45.4%
Sad 45.9%
Confused 45.8%
Surprised 45.4%
Calm 47.9%
Angry 46%
Disgusted 48.7%

AWS Rekognition

Age 26-43
Gender Male, 53%
Happy 45.6%
Sad 47.3%
Surprised 46%
Confused 45.8%
Calm 48.6%
Angry 46.2%
Disgusted 45.4%

AWS Rekognition

Age 45-63
Gender Male, 54.2%
Disgusted 45.1%
Sad 45.4%
Happy 45.1%
Surprised 45.1%
Calm 53.8%
Angry 45.2%
Confused 45.3%

AWS Rekognition

Age 38-57
Gender Female, 54%
Surprised 46.4%
Disgusted 45.4%
Confused 45.5%
Happy 46.7%
Calm 47%
Sad 48.2%
Angry 45.8%

AWS Rekognition

Age 35-53
Gender Female, 50.8%
Confused 45.4%
Calm 46.5%
Happy 45.7%
Disgusted 49.5%
Angry 45.4%
Sad 47.1%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Female, 54.4%
Happy 46.1%
Calm 46.4%
Angry 45.7%
Disgusted 45.3%
Sad 50.7%
Surprised 45.3%
Confused 45.5%

AWS Rekognition

Age 19-36
Gender Male, 53.5%
Confused 45.4%
Sad 47.1%
Surprised 45.2%
Angry 46.2%
Calm 50.9%
Happy 45.1%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 51.2%
Disgusted 45.6%
Happy 45.1%
Confused 45.6%
Surprised 45.7%
Sad 49.8%
Calm 47.1%
Angry 46.1%

AWS Rekognition

Age 45-63
Gender Male, 52.9%
Confused 46.9%
Sad 46.3%
Surprised 47.1%
Angry 45.5%
Calm 47.9%
Happy 45.9%
Disgusted 45.4%

AWS Rekognition

Age 17-27
Gender Male, 54.6%
Calm 49.3%
Happy 45.3%
Disgusted 46%
Surprised 46.3%
Angry 45.9%
Sad 46.4%
Confused 45.8%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Angry 46.1%
Happy 45.4%
Disgusted 47.9%
Confused 49.4%
Sad 45.4%
Calm 45.3%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Sad 50.2%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Sad 47.2%
Disgusted 45.7%
Angry 45.6%
Calm 49.5%
Surprised 45.8%
Happy 45.5%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 52.3%
Confused 45.6%
Angry 45.8%
Sad 46.3%
Calm 48.4%
Happy 46.5%
Disgusted 45.8%
Surprised 46.5%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Calm 49.8%
Happy 49.7%
Angry 49.6%
Surprised 49.6%
Sad 49.8%
Confused 49.6%
Disgusted 49.5%

Feature analysis

Amazon

Person 99.4%
Painting 94.7%

Captions

Microsoft
created on 2018-02-10

a close up of a book 38.3%
close up of a book 32.8%
two men looking at a book 22.6%

Text analysis

Amazon

emple
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Tempto
Madonna
La Madonna che ssale gae del Notre ame monle lesgracens d du
Novella
Notre
ocurde
dans
lesgracens d
jreico
prn
La
Tirente
Demimige
lamtap
Farge
gae
Nouvelel
Ghrdandap
Ginura jreico d Domemig Gan lamtap r de M. Novella Farge de Demimige Ghrdandap dans ocurde M Nouvelel
jels
jgho
Gan
igni
Tirente prn eele Piym jgho chets Sioilas igni Hlami c ol jels
Piym
Domemig
Sioilas
Ginura
r
Hlami c ol
eele
M.
chets
M