Human Generated Data

Title

David Killing Goliath
Date

19th century
People

Artist: Giuseppe Calendi, Italian

Artist after: Lorenzo Ghiberti, c. 1381 - 1455
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R908NA

Human Generated Data

Title

David Killing Goliath

People

Artist: Giuseppe Calendi, Italian

Artist after: Lorenzo Ghiberti, c. 1381 - 1455

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R908NA

Machine Generated Data

Tags

Amazon
created on 2019-10-29

Painting 99.3
Art 99.3
Person 80.1
Human 80.1
Person 76.5
Person 72
Archaeology 69.7
Person 57
Person 44.3

Clarifai
created on 2019-10-29

art 99.5
illustration 97.9
people 97.2
painting 95.5
Renaissance 94.8
man 94.2
ancient 92.6
old 92.6
sculpture 91.1
sword 89.9
cavalry 89.7
museum 87.8
culture 87.1
engraving 86.8
religion 86
picture frame 85.7
crown 85
adult 84.5
retro 84
veil 83.1

Imagga
created on 2019-10-29

brass 54.6
memorial 49.9
structure 37.9
vintage 37.3
old 35.6
ancient 31.2
paper 27.6
sketch 26.2
retro 24.6
antique 24.5
art 24.1
texture 22.3
grunge 22.2
drawing 21.9
aged 19.9
currency 19.8
cash 19.2
money 18.7
stamp 17.7
history 17
representation 17
stucco 17
envelope 15.9
frame 15.8
design 15.8
bank 15.2
finance 14.4
mail 14.4
pattern 14.4
dollar 13.9
wall 13.7
bill 13.3
stone 13.3
letter 12.9
border 12.7
financial 12.5
sculpture 12.2
banking 12
postmark 11.8
postage 11.8
binding 11.3
savings 11.2
note 11
architecture 11
historic 11
dirty 10.9
wealth 10.8
post 10.5
temple 10.5
blank 10.3
rich 10.3
decoration 10
material 9.8
postal 9.8
carving 9.8
business 9.7
dollars 9.7
detail 9.7
historical 9.4
culture 9.4
floral 9.4
monument 9.4
economy 9.3
decorative 9.2
landmark 9
treasury 8.8
banknote 8.7
card 8.7
pay 8.6
empty 8.6
damaged 8.6
close 8.6
travel 8.5
wallpaper 8.4
page 8.4
investment 8.3
one 8.2
paint 8.2
surface 7.9
book jacket 7.9
black 7.8
us 7.7
grungy 7.6
famous 7.5
style 7.4
symbol 7.4
exterior 7.4
brown 7.4
container 7.4
artwork 7.3
backgrounds 7.3
color 7.2
collection 7.2
depository 7.2
building 7.1
jacket 7.1

Google
created on 2019-10-29

Art 78.1
Stock photography 64
Relief 58.1
Artwork 56.7
Drawing 55.8
Illustration 50.4
Painting 50.4

Microsoft
created on 2019-10-29

text 99.8
drawing 97.3
sketch 91.8
museum 71
picture frame 12.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-20
Gender Female, 50.3%
Confused 49.5%
Fear 50%
Disgusted 49.5%
Sad 49.8%
Calm 49.6%
Angry 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 19-31
Gender Female, 50%
Surprised 49.5%
Confused 49.5%
Fear 49.5%
Disgusted 49.5%
Sad 49.5%
Happy 49.5%
Calm 50.5%
Angry 49.5%

AWS Rekognition

Age 28-44
Gender Male, 50.4%
Disgusted 49.5%
Calm 49.5%
Sad 49.5%
Angry 50.5%
Fear 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 35-51
Gender Male, 50%
Disgusted 49.5%
Happy 49.5%
Fear 49.6%
Angry 49.5%
Surprised 49.5%
Calm 50.2%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 34-50
Gender Male, 50.5%
Fear 49.5%
Happy 49.5%
Surprised 49.5%
Calm 50.1%
Confused 49.5%
Disgusted 49.5%
Sad 49.5%
Angry 49.8%

AWS Rekognition

Age 28-44
Gender Male, 50.5%
Calm 49.9%
Angry 49.9%
Confused 49.6%
Surprised 49.6%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Sad 49.5%

AWS Rekognition

Age 32-48
Gender Male, 50.4%
Fear 49.5%
Surprised 49.5%
Angry 49.7%
Calm 49.8%
Happy 49.5%
Sad 50%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 31-47
Gender Male, 50.4%
Happy 49.8%
Sad 49.5%
Calm 49.6%
Disgusted 49.5%
Surprised 49.6%
Confused 49.5%
Angry 49.8%
Fear 49.7%

AWS Rekognition

Age 26-42
Gender Male, 50.5%
Sad 49.5%
Fear 49.5%
Angry 49.7%
Disgusted 49.5%
Surprised 49.5%
Calm 50.2%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.2%
Sad 49.6%
Disgusted 49.5%
Angry 49.7%
Fear 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.2%

AWS Rekognition

Age 38-56
Gender Male, 50.4%
Sad 49.6%
Surprised 49.5%
Confused 49.5%
Calm 50.3%
Fear 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.3%
Angry 49.8%
Surprised 49.6%
Fear 49.5%
Calm 49.8%
Happy 49.5%
Disgusted 49.5%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 15-27
Gender Male, 50.1%
Fear 49.5%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 50.3%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 51-69
Gender Male, 50.3%
Confused 49.5%
Fear 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 50%
Happy 49.5%
Sad 49.8%
Angry 49.5%

AWS Rekognition

Age 13-25
Gender Female, 50.2%
Angry 49.5%
Surprised 49.5%
Fear 49.5%
Happy 49.6%
Calm 50.2%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.3%
Angry 50.1%
Happy 49.8%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.5%
Fear 49.6%
Disgusted 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.5%
Surprised 49.5%
Calm 50.2%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Sad 49.7%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 33-49
Gender Male, 50.3%
Surprised 49.5%
Fear 49.5%
Angry 49.5%
Sad 49.5%
Calm 50.1%
Happy 49.9%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 36-54
Gender Male, 50.5%
Disgusted 49.8%
Confused 49.5%
Fear 49.5%
Happy 49.5%
Angry 49.5%
Sad 50.1%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.1%
Happy 49.5%
Calm 49.8%
Sad 49.6%
Angry 49.9%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 21-33
Gender Male, 50.3%
Happy 49.5%
Angry 50.1%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 49.8%
Fear 49.6%

AWS Rekognition

Age 19-31
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Sad 49.5%
Disgusted 49.5%
Angry 50.5%
Calm 49.5%
Confused 49.5%
Fear 49.5%

AWS Rekognition

Age 26-42
Gender Female, 50.2%
Happy 49.5%
Calm 49.6%
Surprised 49.5%
Angry 50.3%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%
Sad 49.5%

AWS Rekognition

Age 48-66
Gender Male, 50.2%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.9%
Fear 49.9%
Sad 49.5%

Feature analysis

Amazon

Painting 99.3%
Person 80.1%

Categories

Imagga

paintings art 92.9%
streetview architecture 6.1%

Captions

Microsoft
created on 2019-10-29

a close up of a book 65.2%
close up of a book 60.3%
a close up of a book cover 60.2%

Text analysis

Amazon

DECEM
MILLIA
MILLE
SAUL
PERCUSSIT
DAVID
ET
PERCUSSIT SAUL MILLE ET DAVID DECEM MILLIA Rgrm
Rgrm
.FF

Google

PERCUSSIT SAUL MILLE ET DAV ID DECEM MILL.IA Rum
PERCUSSIT
SAUL
MILLE
ET
DAV
ID
DECEM
MILL.IA
Rum