Human Generated Data

Title

The Fall of the Rebellious Angels (a fresco, now whitewashed over, in the Church of St. Angelo in Arezzo)
Date

19th century
People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Spinello Aretino, Italian 1350/52 - 1410
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2205

Human Generated Data

Title

The Fall of the Rebellious Angels (a fresco, now whitewashed over, in the Church of St. Angelo in Arezzo)

People

Artist: Conte Carlo Lasinio, Italian 1759 - 1838

Artist after: Spinello Aretino, Italian 1350/52 - 1410

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G2205

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Art 97.7
Painting 97.7
Person 96.6
Human 96.6
Person 86
Person 80.4
Person 75.8
Person 72
Person 69.2
Person 65.5
Drawing 59.2

Clarifai
created on 2018-02-10

people 99.6
cavalry 99.5
art 98.6
illustration 98.3
group 98.1
man 97.4
many 96.6
war 95.7
print 95.6
adult 95.4
administration 95.2
weapon 95.1
sword 95
engraving 94.7
skirmish 93.1
force 91.7
mammal 91.4
military 90.9
woodcut 88.8
soldier 87.2

Imagga
created on 2018-02-10

old 39.7
grunge 35.8
antique 35
vintage 33.1
map 32.7
texture 32
wall 30.1
structure 28.7
aged 26.2
memorial 25.5
snow 24.9
retro 22.9
paper 22
pattern 21.2
art 20.9
frame 20.8
ancient 20.8
wallpaper 19.9
representation 19.8
world 17.7
brass 17.6
dirty 17.2
drawing 16.9
border 16.3
grungy 16.1
geography 15.4
stone 15.4
atlas 15.3
material 14.3
travel 14.1
design 14.1
road 13.6
textured 13.2
empty 12.9
stained 12.5
sketch 12.5
worn 12.4
graphic 12.4
damaged 12.4
country 12.4
weathered 12.3
container 12.2
backgrounds 12.2
detail 12.1
weather 12.1
historic 11.9
winter 11.9
gravestone 11.9
history 11.6
crack 11.6
decay 11.6
grain 11.1
rough 10.9
backdrop 10.7
fracture 10.7
surface 10.6
landscape 10.4
cold 10.3
color 10
city 10
paint 10
grime 9.8
faded 9.7
navigation 9.6
parchment 9.6
aging 9.6
north 9.6
rusty 9.5
old fashioned 9.5
canvas 9.5
planet 9.4
floral 9.4
money 9.4
globe 9.3
decorative 9.2
brown 8.8
stucco 8.8
snowy 8.8
continent 8.7
forest 8.7
stain 8.6
rustic 8.6
architecture 8.6
textures 8.5
nation 8.5
tourism 8.3
global 8.2
business 7.9
bag 7.8
mottled 7.8
stains 7.8
burnt 7.8
sepia 7.8
torn 7.7
blank 7.7
rust 7.7
construction 7.7
dirt 7.6
direction 7.6
capital 7.6
note 7.4
building 7.3
envelope 7.3
currency 7.2
ice 7.1

Google
created on 2018-02-10

mammal 92.3
black and white 86.7
history 76.9
art 75.7
horse like mammal 68.7
artwork 65.2
monochrome 59.1
illustration 58.1
ancient history 57.5
mythology 55.5
visual arts 52.4

Microsoft
created on 2018-02-10

text 99

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Surprised 45.3%
Disgusted 45.1%
Confused 45.3%
Happy 45.2%
Calm 52.3%
Sad 45.7%
Angry 46.2%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Angry 45.3%
Disgusted 45.1%
Sad 45.6%
Happy 45.2%
Calm 53.4%
Surprised 45.2%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Surprised 45.1%
Disgusted 45%
Confused 45.1%
Happy 45%
Calm 45.6%
Sad 53.6%
Angry 45.5%

AWS Rekognition

Age 23-38
Gender Female, 52.6%
Happy 45.6%
Sad 47.6%
Calm 48.8%
Confused 45.4%
Angry 46%
Disgusted 45.8%
Surprised 45.8%

AWS Rekognition

Age 30-47
Gender Male, 53.8%
Calm 53.6%
Surprised 45.1%
Disgusted 45.1%
Angry 45.2%
Sad 45.7%
Confused 45.1%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Female, 53.6%
Happy 45.1%
Sad 46.7%
Calm 50%
Confused 45.9%
Angry 45.9%
Disgusted 45.8%
Surprised 45.6%

AWS Rekognition

Age 20-38
Gender Female, 54.4%
Happy 45.4%
Disgusted 45.3%
Confused 45.5%
Angry 45.6%
Surprised 45.7%
Sad 49.5%
Calm 48.1%

AWS Rekognition

Age 35-52
Gender Female, 53.7%
Surprised 46%
Angry 46.2%
Happy 45.7%
Sad 47.4%
Disgusted 45.7%
Confused 45.4%
Calm 48.7%

AWS Rekognition

Age 20-38
Gender Female, 54.7%
Angry 45.5%
Disgusted 45.1%
Sad 53.5%
Happy 45.2%
Calm 45.5%
Surprised 45.2%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Calm 50.2%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 52.7%
Calm 50.1%
Happy 45.1%
Angry 45.7%
Surprised 45.1%
Sad 48.6%
Confused 45.3%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Angry 46.8%
Happy 46.5%
Calm 46.4%
Surprised 45.7%
Sad 46.7%
Disgusted 47.6%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Female, 51.7%
Happy 45.8%
Surprised 45.4%
Sad 51.4%
Angry 46%
Disgusted 45.9%
Confused 45.2%
Calm 45.3%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Surprised 49.5%
Happy 49.5%
Disgusted 49.7%
Confused 49.6%
Sad 49.9%
Angry 49.7%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Sad 53.4%
Surprised 45.1%
Disgusted 45.2%
Angry 45.2%
Calm 45.6%
Happy 45.5%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.1%
Surprised 45.2%
Sad 47.7%
Disgusted 45.1%
Calm 51.2%
Happy 45.1%
Angry 45.5%
Confused 45.2%

AWS Rekognition

Age 16-27
Gender Female, 52%
Surprised 45.6%
Sad 49.5%
Angry 46%
Calm 46.1%
Confused 45.4%
Disgusted 46.6%
Happy 45.9%

AWS Rekognition

Age 35-52
Gender Male, 54.1%
Happy 45%
Sad 45.5%
Disgusted 45.1%
Surprised 45.1%
Calm 54.2%
Confused 45%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.7%
Confused 45%
Calm 45.1%
Surprised 45%
Sad 54.6%
Happy 45.1%
Disgusted 45%
Angry 45.1%

AWS Rekognition

Age 45-63
Gender Female, 50.4%
Calm 52.4%
Surprised 45.2%
Disgusted 45.1%
Angry 45.3%
Sad 46.7%
Confused 45.1%
Happy 45.1%

AWS Rekognition

Age 23-38
Gender Female, 54.9%
Happy 45.7%
Confused 45.3%
Angry 45.7%
Surprised 45.6%
Disgusted 45.7%
Calm 45.5%
Sad 51.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 45.2%
Sad 46.4%
Disgusted 45%
Surprised 45.3%
Calm 52.6%
Confused 45.2%
Angry 45.3%

AWS Rekognition

Age 35-52
Gender Male, 52.5%
Surprised 45.3%
Calm 45.2%
Sad 46%
Confused 45.7%
Angry 47.8%
Happy 45.1%
Disgusted 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Sad 50.3%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Male, 54.8%
Confused 46.8%
Sad 46.5%
Calm 49.2%
Disgusted 45.6%
Angry 45.8%
Happy 45.1%
Surprised 46.1%

AWS Rekognition

Age 57-77
Gender Female, 50.5%
Happy 49.8%
Disgusted 49.5%
Confused 49.5%
Calm 49.9%
Angry 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Surprised 49.6%
Happy 49.5%
Sad 49.9%
Calm 49.8%
Disgusted 49.6%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 57-77
Gender Male, 50.1%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Calm 49.8%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Surprised 45.3%
Angry 45.8%
Happy 46.5%
Sad 50.5%
Disgusted 46.2%
Confused 45.4%
Calm 45.4%

AWS Rekognition

Age 48-68
Gender Male, 50.5%
Disgusted 45.2%
Surprised 45.4%
Angry 47.1%
Happy 45.1%
Sad 46.6%
Confused 45.3%
Calm 50.3%

AWS Rekognition

Age 45-66
Gender Male, 52.4%
Surprised 45.2%
Confused 45.2%
Calm 45.8%
Happy 45.4%
Disgusted 45.1%
Angry 45.3%
Sad 53.1%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Confused 49.5%
Sad 50.4%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 49.7%
Happy 49.5%
Disgusted 49.8%
Calm 49.5%
Sad 49.8%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Calm 49.7%
Happy 45.9%
Disgusted 46.2%
Surprised 45.6%
Angry 45.5%
Sad 46.8%
Confused 45.4%

AWS Rekognition

Age 45-63
Gender Female, 50.4%
Happy 49.5%
Disgusted 50.4%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Happy 45.3%
Calm 52.8%
Confused 45.5%
Angry 45.4%
Sad 45.6%
Disgusted 45.1%
Surprised 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.9%
Happy 45.4%
Surprised 45.4%
Angry 45.8%
Calm 46.3%
Disgusted 45.6%
Sad 51.4%
Confused 45.2%

Feature analysis

Amazon

Painting 97.7%
Person 96.6%

Categories

Imagga

paintings art 99.6%
nature landscape 0.4%
streetview architecture 0.1%

Captions

Microsoft
created on 2018-02-10

a close up of a book 31.4%
close up of a book 26.4%
a hand holding a book 26.3%

Text analysis

Amazon

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Cadula
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Chrile des nges ribelles
Chrile
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Cadula degle hack
pinete
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reneller
Eghiies
reneller lor Eghiies
lor
hack
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