Human Generated Data

Title

Angels Playing Musical Instruments and Cherubs Dancing
Date

c.1589
People

Artist: Adriaen Collaert, Flemish c. 1560 - 1618

Artist after: Jan van der Straet, Netherlandish 1523 - 1605
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13549

Human Generated Data

Title

Angels Playing Musical Instruments and Cherubs Dancing

People

Artist: Adriaen Collaert, Flemish c. 1560 - 1618

Artist after: Jan van der Straet, Netherlandish 1523 - 1605

Date

c.1589

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R13549

Machine Generated Data

Tags

Amazon
created on 2019-08-10

Art 99.1
Painting 98.5
Human 96.3
Person 96.3

Clarifai
created on 2019-08-10

art 99
illustration 99
people 99
print 96.5
man 95.8
paper 95.2
old 95
painting 95
group 94.7
adult 94.4
ancient 92.3
text 92.1
antique 91.8
cavalry 91.6
sword 90.9
Renaissance 90.2
symbol 89.5
religion 89.3
veil 88.5
vintage 87.9

Imagga
created on 2019-08-10

arabesque 63.5
damask 59.5
vintage 41.4
antique 33.4
old 32.8
grunge 29.8
retro 29.5
texture 29.2
paper 29
art 27.8
design 24.6
pattern 24
money 22.1
floral 21.3
cash 21.1
ancient 20.8
currency 19.8
decoration 19.4
bank 17
finance 16.9
wallpaper 16.9
decorative 16.7
frame 16.7
aged 16.3
style 15.6
border 15.4
note 14.7
financial 14.3
grungy 14.2
decor 14.2
banking 13.8
backdrop 13.2
stucco 12.8
bill 12.4
flower 12.3
detail 12.1
dollar 12.1
brown 11.8
banknote 11.7
parchment 11.5
close 11.4
textured 11.4
structure 11.3
map 11.1
graphic 11
tile 10.9
history 10.7
material 10.7
gold 10.7
ornamental 10.5
ornament 10.4
ornate 10.1
wealth 9.9
world 9.8
exchange 9.6
historic 9.2
fabric 9.2
element 9.1
collection 9
color 8.9
text 8.7
geography 8.7
atlas 8.7
pay 8.6
worn 8.6
leaf 8.6
culture 8.6
economy 8.4
traditional 8.3
stamp 8.3
plant 8.3
dirty 8.1
surface 7.9
business 7.9
banknotes 7.8
cotton 7.8
bills 7.8
travel 7.8
dollars 7.7
canvas 7.6
savings 7.5
silhouette 7.5
card 7.3
paint 7.2
painting 7.2
black 7.2
creative 7.1

Google
created on 2019-08-10

Art 88.5
Illustration 78.4
Stock photography 71.8
Mythology 66.4
Painting 63
History 57.6
Tapestry 51.3

Microsoft
created on 2019-08-10

text 99.5
book 98.7
wall 98.5
drawing 98.3
indoor 93.7
sketch 91.8
person 81.6
old 62.3
painting 21.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 24-38
Gender Male, 53.8%
Surprised 45%
Angry 45%
Fear 45%
Happy 45%
Disgusted 45%
Confused 45%
Calm 54.7%
Sad 45.2%

AWS Rekognition

Age 22-34
Gender Female, 50.2%
Angry 49.6%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Calm 49.7%
Fear 49.9%
Happy 49.7%
Confused 49.5%

AWS Rekognition

Age 14-26
Gender Male, 50.5%
Sad 49.5%
Confused 49.5%
Happy 49.6%
Angry 50.4%
Calm 49.5%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 28-44
Gender Male, 54%
Sad 45%
Calm 54.9%
Happy 45.1%
Disgusted 45%
Fear 45%
Surprised 45%
Angry 45%
Confused 45%

AWS Rekognition

Age 30-46
Gender Female, 50.5%
Happy 45%
Angry 45.6%
Surprised 45.4%
Fear 51.7%
Disgusted 45.2%
Sad 46.1%
Calm 45.9%
Confused 45.1%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50.4%
Confused 49.5%
Fear 49.5%
Sad 49.5%
Surprised 49.5%
Calm 50.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 20-32
Gender Male, 53.3%
Calm 54.4%
Happy 45%
Confused 45%
Disgusted 45%
Angry 45.1%
Fear 45%
Sad 45.5%
Surprised 45%

AWS Rekognition

Age 2-8
Gender Male, 54.8%
Happy 45.1%
Sad 46%
Angry 50.3%
Fear 46.5%
Disgusted 45.1%
Surprised 45.7%
Calm 46.1%
Confused 45.2%

Feature analysis

Amazon

Painting 98.5%
Person 96.3%

Categories

Imagga

paintings art 43.4%
streetview architecture 25.8%
beaches seaside 23.3%
nature landscape 5.9%

Captions

Microsoft
created on 2019-08-10

a painting of a person 79.6%
a painting of a book 66.4%
a painting of a person holding a book 48.8%

Text analysis

Amazon

Deus
Iubilag
formis
cecinerunt
aligeri
Fundamenta
refoluit
miratus
machina
maxima
Materics
chorus
pofu
terna
orza
suzs
Quid,
quan
Quid, mortalis, eras et ubri, maxima terna Materics prima Chaos, machina formis Sidena, coelicolumg chorus miratus inhisit,
coelicolumg
eras
prima
miniftri
inhisit,
Sidena,
et
mortalis,
Fundamenta Deus pofu carcumque quan refoluit EST diftincta qura suzs laudibnus cum orza noftris Iubilag aligeri cecinerunt laeta miniftri Io-B.
EST
noftris
ubri,
carcumque
laudibnus
cum
diftincta
laeta
Chaos,
qura
Io-B.

Google

םתא Adria Collere e Sidera, coelhcohumg chorus miratus imhesit Iubilagy aligeri cecinerunt lata miniftri ra . Materies quan prima Chaos, cum machina formis Et diftncta suis quum laudibus omnia noftris Quid, mortalis, eras ,et ubi, quam maxima terna Fundamenta Deus pofui? ccecumque refoluit
םתא
Adria
Collere
e
Sidera,
coelhcohumg
chorus
miratus
imhesit
Iubilagy
aligeri
cecinerunt
lata
miniftri
ra
.
Materies
quan
prima
Chaos,
cum
machina
formis
Et
diftncta
suis
quum
laudibus
omnia
noftris
Quid,
mortalis,
eras
,et
ubi,
quam
maxima
terna
Fundamenta
Deus
pofui?
ccecumque
refoluit