Human Generated Data

Title

Ascension
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, S3.58.6

Human Generated Data

Title

Ascension

People

Artist: Jacques Callot, French 1592 - 1635

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.58.6

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Human 95.8
Person 95.8
Person 94.7
Art 94.3
Person 91
Person 84.8
Painting 84.6
Person 79.2
Person 75.3
Person 63.3

Clarifai
created on 2018-04-19

art 99.7
illustration 99.6
people 99.6
print 98.9
religion 97.9
engraving 97.8
group 97
man 96.6
painting 96.3
visuals 94.9
book 94.9
god 94.3
woodcut 93.3
adult 93.3
saint 92.4
etching 90.4
sword 89.7
antique 88.5
old 88
holy 87.4

Imagga
created on 2018-04-19

sketch 74.4
drawing 63
representation 51.3
art 26.2
currency 25.2
money 24.7
pattern 24
design 23.9
paper 22.8
vintage 22.4
retro 20.5
arabesque 19.6
grunge 19.6
texture 19.5
finance 19.5
dollar 18.6
cash 18.3
old 17.4
bank 17
antique 15.8
banking 15.6
dollars 15.5
map 15.4
business 15.2
financial 15.2
frame 14.2
decoration 14.1
decorative 13.4
savings 13.1
wallpaper 13
economy 13
wealth 12.6
graphic 12.4
stamp 12
floral 11.9
style 11.9
bill 11.4
artistic 11.3
shape 11.2
rich 11.2
leaf 10.9
close 10.9
traditional 10.8
history 10.7
backdrop 10.7
loan 10.6
textured 10.5
ornament 10.4
note 10.1
ornate 10.1
element 9.9
decor 9.7
creative 9.7
hundred 9.7
us 9.6
atlas 9.6
exchange 9.6
ancient 9.5
color 9.5
flower 9.2
investment 9.2
modern 9.1
finances 8.7
grungy 8.5
number 8.4
effect 8.2
border 8.2
detail 8.1
wages 7.8
motif 7.8
culture 7.7
pay 7.7
mail 7.7
plant 7.6
damask 7.6
classic 7.4
light 7.4
letter 7.3
painting 7.2
material 7.2

Google
created on 2018-04-19

art 86.2
history 81.1
black and white 78.2
mythology 73.7
tapestry 64.3
artwork 61.3
relief 60.3
middle ages 58.2
monochrome 52.9
visual arts 52.8
illustration 52.8
prophet 52.7
tree 50.1
ancient history 50.1

Microsoft
created on 2018-04-19

text 100
book 100

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Male, 54.8%
Disgusted 45%
Angry 45.8%
Happy 45%
Sad 46%
Confused 45.2%
Calm 52.7%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 52.9%
Angry 45.7%
Happy 45.4%
Surprised 45.4%
Sad 48.8%
Disgusted 45.2%
Confused 45.7%
Calm 48.8%

AWS Rekognition

Age 26-43
Gender Female, 51.8%
Disgusted 45.1%
Angry 45.9%
Happy 45.9%
Sad 47.5%
Confused 45.3%
Calm 49.3%
Surprised 46%

AWS Rekognition

Age 38-59
Gender Male, 51.1%
Calm 53.9%
Happy 45%
Disgusted 45%
Sad 45.3%
Surprised 45.2%
Angry 45.5%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Sad 45.7%
Disgusted 45.1%
Angry 46.7%
Calm 51.7%
Confused 45.6%
Happy 45%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Male, 53.4%
Surprised 45.1%
Angry 45.1%
Disgusted 45%
Happy 45.1%
Confused 45.1%
Calm 54.1%
Sad 45.6%

AWS Rekognition

Age 27-44
Gender Male, 52.6%
Calm 53.1%
Disgusted 45.1%
Confused 45.3%
Surprised 45.5%
Angry 45.3%
Sad 45.5%
Happy 45.1%

AWS Rekognition

Age 38-59
Gender Male, 54.9%
Sad 54.4%
Happy 45%
Calm 45.2%
Surprised 45%
Angry 45.1%
Disgusted 45%
Confused 45.2%

AWS Rekognition

Age 35-55
Gender Male, 53.7%
Happy 45.1%
Sad 46.5%
Disgusted 45.2%
Calm 51.3%
Angry 46.1%
Surprised 45.2%
Confused 45.6%

AWS Rekognition

Age 14-25
Gender Male, 51.7%
Sad 46.2%
Calm 53%
Angry 45.4%
Confused 45.2%
Disgusted 45%
Happy 45%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Sad 50.8%
Angry 45.7%
Confused 45.4%
Calm 46.8%
Disgusted 45.3%
Surprised 45.3%
Happy 45.7%

AWS Rekognition

Age 26-43
Gender Female, 50.6%
Confused 45.1%
Angry 45.2%
Calm 52.2%
Happy 45%
Surprised 45.1%
Disgusted 45%
Sad 47.3%

AWS Rekognition

Age 30-47
Gender Male, 54.8%
Angry 47.2%
Sad 46%
Confused 45.3%
Happy 45.3%
Disgusted 45.2%
Surprised 45.5%
Calm 50.5%

AWS Rekognition

Age 20-38
Gender Female, 50%
Happy 49.5%
Calm 49.6%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50.1%
Surprised 49.6%

AWS Rekognition

Age 14-23
Gender Male, 54.8%
Happy 45%
Surprised 45.2%
Angry 45.4%
Confused 45.1%
Disgusted 45%
Sad 45.2%
Calm 54%

Feature analysis

Amazon

Person 95.8%
Painting 84.6%

Categories

Imagga

paintings art 68.9%
nature landscape 24.7%
streetview architecture 6.2%
text visuals 0.1%

Captions

Microsoft
created on 2018-04-19

a close up of a book 57%
close up of a book 51.2%
a hand holding a book 51.1%

Text analysis

Amazon

I.Callct
I.Callct Fecif
Fecif