Human Generated Data

Title

The Dance Around the Golden Calf
Date

c. 1579
People

Artist: Johann Sadeler I, Netherlandish 1550 - 1600-8

Artist after: Chrispijn van den Broeck, Netherlandish 1524 - 1590/91

Publisher: Gerard de Jode, Flemish 1509 - 1591
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.53

Human Generated Data

Title

The Dance Around the Golden Calf

People

Artist: Johann Sadeler I, Netherlandish 1550 - 1600-8

Artist after: Chrispijn van den Broeck, Netherlandish 1524 - 1590/91

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1579

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.53

Machine Generated Data

Tags

Amazon
created on 2019-06-25

Human 97.8
Person 97.8
Person 96.5
Person 95.3
Person 93.7
Person 92.6
Painting 91.9
Art 91.9
Person 88.8
Person 88.3
Person 85
Person 84.6
Person 83.7
Person 81.8
Person 76.5
Person 76.3
Person 74
Person 68.3
Drawing 63.5
Person 63.3
Person 61.5
Person 60
Book 58.7
Game 57.5
Person 49.1

Clarifai
created on 2019-06-25

illustration 99.6
art 99.4
people 99.4
painting 99.4
woman 96.2
print 95.5
man 95.3
son 94.4
religion 94.1
group 93.9
adult 93.4
baby 90.8
old 90.8
veil 89.1
child 88.7
god 88
Renaissance 87.3
saint 86.9
book 86.9
lithograph 85.5

Imagga
created on 2019-06-25

jigsaw puzzle 90.7
puzzle 71.5
game 49.9
currency 34.1
money 31.5
vintage 30.6
cash 26.6
old 25.8
finance 25.4
letter 23.9
paper 23.5
mail 23
envelope 22.7
postmark 22.7
stamp 22.4
postage 21.6
retro 21.3
postal 20.6
tray 20.3
insulating material 19.3
bill 19
bank 17.9
dollar 17.6
business 17.6
banking 17.5
note 17.5
receptacle 16.5
container 16
global 15.5
financial 15.2
map 15.1
savings 14.9
ancient 14.7
banknote 14.6
building material 14.5
wealth 14.4
symbol 14.1
art 14
circa 13.8
aged 13.6
exchange 13.4
post 13.4
close 13.1
philately 12.8
printed 12.8
dollars 12.6
notes 12.5
one 12
grunge 11.9
stamps 11.8
card 11.1
bills 10.7
geography 10.6
united 10.5
shows 9.9
banknotes 9.8
hundred 9.7
states 9.7
black 9.6
pay 9.6
international 9.6
antique 9.5
investment 9.2
message 9.1
world 8.9
office 8.8
object 8.8
board 8.8
man 8.7
museum 8.7
payment 8.7
communications 8.6
painted 8.6
culture 8.6
design 8.5
collection 8.1
market 8
icon 7.9
masterpiece 7.9
country 7.9
address 7.9
paintings 7.8
delivery 7.8
letters 7.7
union 7.7
unique 7.6
save 7.6
comic book 7.5
china 7.5
frame 7.5
rich 7.5
economy 7.4
church 7.4
color 7.2
painter 7.2
history 7.2

Google
created on 2019-06-25

Painting 95.7
Art 86.3
Illustration 74.4
Watercolor paint 72.1
Picture frame 67.8
Textile 65.6
Visual arts 64.9
Miniature 63.5
Antique 61.9
History 60.4
Still life 57.1
Modern art 54.3
Artwork 51.1

Microsoft
created on 2019-06-25

painting 99.3
drawing 97.5
text 93.8
person 87.8
cartoon 87.6
gallery 74.9
book 74.4
child art 66.1
room 65.2
stationary 64.1
clothing 51.8
picture frame 17.9

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-43
Gender Male, 54%
Surprised 45.1%
Sad 46%
Angry 46.5%
Calm 52.4%
Happy 45%
Confused 45.1%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 45.2%
Sad 48%
Surprised 45.1%
Calm 51.5%
Happy 45.1%
Confused 45.1%
Disgusted 45%

AWS Rekognition

Age 57-77
Gender Male, 52.8%
Angry 47%
Disgusted 45.2%
Confused 45.5%
Surprised 45.6%
Calm 49.5%
Sad 46.6%
Happy 45.7%

AWS Rekognition

Age 49-69
Gender Male, 54.6%
Happy 45.2%
Angry 45.4%
Disgusted 46.1%
Confused 45.2%
Sad 46.3%
Calm 51.6%
Surprised 45.2%

AWS Rekognition

Age 48-68
Gender Female, 54.5%
Happy 45.1%
Surprised 45.1%
Confused 45.1%
Calm 47.8%
Sad 51.5%
Disgusted 45%
Angry 45.4%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Sad 50%
Calm 49.7%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Angry 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Happy 45%
Calm 45.4%
Angry 45.4%
Disgusted 45%
Sad 53.9%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Confused 49.5%
Calm 50.1%
Sad 49.8%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Disgusted 49.8%
Sad 49.8%
Happy 49.5%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Disgusted 45.1%
Confused 45.2%
Surprised 45.7%
Sad 45.5%
Happy 45.1%
Angry 45.3%
Calm 53.3%

AWS Rekognition

Age 10-15
Gender Male, 50.2%
Calm 49.7%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.1%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.5%
Sad 50.1%
Calm 49.6%
Happy 49.6%
Angry 49.6%
Confused 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.5%
Sad 50.1%
Disgusted 49.5%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 48-68
Gender Male, 52.4%
Happy 45.3%
Surprised 45.4%
Sad 53.1%
Angry 45.6%
Calm 45.3%
Disgusted 45.2%
Confused 45.2%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Angry 49.5%
Happy 49.5%
Sad 50.1%
Calm 49.5%
Disgusted 49.8%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Angry 49.7%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Sad 49.7%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 19-36
Gender Male, 50.1%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Sad 50.3%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.2%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.4%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Calm 49.7%
Happy 49.5%
Disgusted 49.5%
Sad 50.1%
Angry 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Calm 49.6%
Sad 50.2%
Angry 49.6%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.1%
Surprised 49.5%
Disgusted 49.7%
Sad 49.6%
Calm 49.9%
Confused 49.6%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.5%
Disgusted 49.6%
Calm 49.6%
Sad 50.1%
Surprised 49.5%
Angry 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 49.7%
Sad 49.7%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.8%
Surprised 49.7%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Happy 49.6%
Confused 49.5%
Calm 49.9%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 49.8%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Sad 50%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50%
Confused 49.5%
Sad 50.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 27-44
Gender Female, 51.6%
Happy 45.2%
Calm 50.4%
Sad 47.6%
Angry 45.9%
Surprised 45.4%
Confused 45.5%
Disgusted 45.1%

Microsoft Cognitive Services

Age 24
Gender Female

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 97.8%
Painting 91.9%
Book 58.7%

Categories

Imagga

paintings art 83.8%
text visuals 10%
interior objects 4.3%
food drinks 1.4%

Captions

Microsoft
created on 2019-06-25

a close up of a box 33.9%
close up of a box 28.1%
a sign for a photo 25.2%

Text analysis

Amazon

Conflato
vallibus
colerent
Horebi
Ouem
compofuere
Exod
Conflato gelidis Horebi in vallibus auro, Ouem colerent ruitulum compofuere bouem, Exod
in
gelidis
Moys
bouem,
auro,
ruitulum
bas
G
arn
Diu
ler.su doy
Lably
.bant
levsud'r
jslato.
Moys .bant arn ta ler.su doy olpoupl jslato. Diu Moyr: gu d-9.7ie
Lably Ja CAmmanD'm e met bas levsud'r
CAmmanD'm
Moyr:
e met
olpoupl
ta
d-9.7ie
Ja
gu

Google

Gi Quem colerent tulum compofuere bouem, Exod. 3 z . Conflato aelidis Horebi in vallibus auro, Moys banturm fabls u commanm 32 Jermet bas leviau dor. Ex
Gi
colerent
Exod.
3
z
.
in
banturm
fabls
u
leviau
dor.
Quem
tulum
compofuere
bouem,
Conflato
aelidis
Horebi
vallibus
auro,
Moys
commanm
32
Jermet
bas
Ex