Human Generated Data

Title

Paradise

Date

17th century

People

Artist: Jacques Callot, French 1592 - 1635

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.58.4

Human Generated Data

Title

Paradise

People

Artist: Jacques Callot, French 1592 - 1635

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Human 98.6
Person 98.6
Art 97.9
Person 94.6
Painting 92.7
Person 90.3
Bird 79.9
Animal 79.9
Person 79.5
Person 72.7

Clarifai
created on 2018-04-19

people 99.8
illustration 99.7
art 99.6
print 98.8
engraving 98.6
man 98.1
group 97.6
adult 95.9
etching 92.7
old 92.1
woodcut 92
prince 90.1
sword 89.5
visuals 89.1
antique 89
painting 87.6
paper 86.9
veil 86.8
woman 86.4
religion 86.4

Imagga
created on 2018-04-19

pattern 36.3
design 33.9
texture 32
vintage 30.6
retro 29.5
antique 29.5
art 29
floral 25.6
decoration 25.4
ornate 23.8
wallpaper 23.8
old 23.7
decorative 22.6
paper 22.1
arabesque 21.4
style 20.8
decor 20.4
cotton 19.9
grunge 19.6
frame 19.3
damask 19.1
graphic 19
ornament 19
backdrop 19
leaf 18.7
flower 18.5
fabric 18.1
element 17.4
drawing 17.3
tile 17
map 16.1
border 15.4
scroll 15.3
shape 14.9
swirl 14.8
ancient 14.7
representation 14.3
seamless 14.3
textile 14.3
traditional 14.2
textured 14
card 12.4
motif 12.4
plant 12
color 11.7
silk 11.7
sketch 11.6
paisley 11.3
money 11.1
artistic 10.4
classic 10.2
elements 10.2
repetition 9.8
elegant 9.4
dollar 9.3
branch 9.1
currency 9
bank 9
surface 8.8
symbol 8.8
curve 8.8
holiday 8.6
grungy 8.5
finance 8.5
greeting 8.4
cover 8.3
fashion 8.3
mosaic 8.3
detail 8.1
lace 8
deco 7.8
scrapbook 7.8
bookmark 7.8
invitation 7.7
blank 7.7
wall 7.7
set 7.6
ornamental 7.6
canvas 7.6
botany 7.5
page 7.4
wedding 7.4
cash 7.3
backgrounds 7.3
business 7.3
aged 7.2
history 7.2
embroidery 7.1

Google
created on 2018-04-19

Microsoft
created on 2018-04-19

text 100
book 99.9

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Disgusted 45.3%
Calm 51.1%
Confused 45.7%
Angry 45.8%
Sad 46.1%
Happy 45.6%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Male, 55%
Confused 45.7%
Angry 45.3%
Happy 45.3%
Disgusted 45.1%
Calm 52.9%
Surprised 45.3%
Sad 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Confused 45.1%
Angry 45.1%
Happy 46.2%
Disgusted 45.1%
Calm 53.2%
Surprised 45.2%
Sad 45.2%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.6%
Surprised 49.5%
Sad 50%
Happy 49.5%
Disgusted 49.5%
Angry 49.7%
Calm 49.7%

AWS Rekognition

Age 35-53
Gender Male, 55%
Disgusted 45%
Sad 45.2%
Confused 46.6%
Angry 45.4%
Happy 45%
Surprised 45.3%
Calm 52.5%

AWS Rekognition

Age 29-45
Gender Male, 54.7%
Angry 45.3%
Happy 45.1%
Surprised 45.4%
Sad 46%
Disgusted 45.1%
Confused 45.3%
Calm 52.8%

AWS Rekognition

Age 23-38
Gender Male, 53.5%
Sad 46.5%
Disgusted 45.9%
Angry 46.7%
Calm 49.4%
Confused 45.4%
Happy 45.2%
Surprised 46%

AWS Rekognition

Age 35-52
Gender Male, 54.5%
Sad 47%
Happy 45.2%
Calm 47.2%
Surprised 46.1%
Angry 46.3%
Disgusted 46.1%
Confused 47.1%

AWS Rekognition

Age 23-38
Gender Male, 54.5%
Sad 47.3%
Disgusted 45%
Happy 45%
Calm 51.1%
Confused 45.4%
Angry 45.8%
Surprised 45.4%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Calm 47.2%
Happy 45.4%
Angry 49.8%
Surprised 45.5%
Confused 46%
Sad 45.9%
Disgusted 45.3%

AWS Rekognition

Age 30-47
Gender Male, 53.5%
Confused 46.7%
Disgusted 45.4%
Angry 45.6%
Calm 47.1%
Sad 45.5%
Happy 49.2%
Surprised 45.6%

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Calm 49.5%
Disgusted 49.8%

AWS Rekognition

Age 14-23
Gender Female, 50.2%
Sad 49.8%
Disgusted 49.5%
Happy 49.6%
Calm 49.7%
Confused 49.6%
Angry 49.7%
Surprised 49.6%

AWS Rekognition

Age 10-15
Gender Male, 50.1%
Calm 49.5%
Sad 49.9%
Confused 49.6%
Disgusted 49.9%
Happy 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.1%
Sad 49.9%
Surprised 49.6%
Calm 49.8%
Disgusted 49.5%
Confused 49.6%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 9-14
Gender Male, 50.3%
Sad 49.8%
Calm 49.7%
Angry 49.6%
Confused 49.7%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50%
Happy 49.6%
Confused 49.7%
Calm 49.7%
Disgusted 49.7%
Angry 49.6%
Sad 49.8%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Angry 49.6%
Sad 49.9%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Calm 50%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Angry 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.5%
Surprised 49.6%
Calm 49.9%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 52.7%
Disgusted 45%
Confused 46%
Surprised 45.5%
Angry 45.4%
Happy 45.2%
Sad 45.2%

AWS Rekognition

Age 4-9
Gender Male, 50.3%
Angry 49.7%
Calm 49.7%
Happy 49.5%
Disgusted 49.8%
Surprised 49.6%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 11-18
Gender Male, 54.6%
Angry 46.4%
Disgusted 45.5%
Calm 47.7%
Confused 46.9%
Surprised 46.3%
Happy 45.7%
Sad 46.4%

Feature analysis

Amazon

Person 98.6%
Painting 92.7%
Bird 79.9%

Captions

Microsoft

a close up of a book 51.5%
close up of a book 45.8%
a hand holding a book 45.7%

Text analysis

Amazon

ICallotFecit

Google

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I, Callot fecit
Callot
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