Human Generated Data

Title

Death of Saint Benedict

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, S3.56.5

Human Generated Data

Title

Death of Saint Benedict

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, S3.56.5

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Human 97.8
Person 97.8
Person 97
Person 96
Person 95.9
Person 95.8
Person 95.5
Art 93.5
Person 93
Person 92.1
Person 88.5
Painting 86.5
Person 73.9
Person 68.9
Person 48.3

Clarifai
created on 2018-04-19

people 99.9
art 99.6
print 99.5
illustration 99.3
engraving 99
man 97.6
group 97.5
religion 95.8
adult 95.2
painting 94.1
visuals 93.1
one 92.1
woodcut 91.5
etching 91.3
leader 88.9
portrait 88.5
woman 86.2
veil 84.9
god 84.7
two 83.7

Imagga
created on 2018-04-19

sketch 77.4
drawing 60.5
representation 48.3
art 35.8
antique 24.6
old 24.4
ancient 23.4
religion 23.3
vintage 18.2
architecture 17.5
temple 17.2
pattern 17.1
sculpture 16.7
decoration 16.3
culture 16.2
church 15.7
history 15.2
religious 14.1
texture 13.9
design 13.7
carving 13
ornament 12.9
detail 12.9
money 12.8
currency 12.6
traditional 12.5
gold 12.3
retro 12.3
travel 12
statue 11.6
wall 11.1
grunge 11.1
frame 11.1
paper 11
financial 10.7
spirituality 10.6
door 10.5
stone 10.4
style 10.4
banking 10.1
cash 10.1
painting 9.9
tourism 9.9
close 9.7
holy 9.6
god 9.6
finance 9.3
historic 9.2
ornate 9.2
museum 9
stamp 8.8
golden 8.6
mosaic 8.6
oriental 8.5
monument 8.4
dollar 8.4
economy 8.3
letter 8.3
building 8.2
aged 8.1
symbol 8.1
wealth 8.1
arabesque 8
bangkok 7.9
artistic 7.8
black 7.8
figure 7.8
flower 7.7
spiritual 7.7
faith 7.7
painted 7.6
east 7.5
one 7.5
tourist 7.3
bank 7.2
icon 7.1
interior 7.1

Google
created on 2018-04-19

Microsoft
created on 2018-04-19

text 100
book 100

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Calm 48.4%
Angry 46%
Surprised 45.3%
Happy 45.3%
Sad 49.5%
Disgusted 45.1%
Confused 45.4%

AWS Rekognition

Age 30-47
Gender Male, 54%
Sad 47.1%
Disgusted 45.2%
Angry 46.1%
Calm 46.9%
Confused 46.6%
Happy 45.4%
Surprised 47.7%

AWS Rekognition

Age 38-57
Gender Male, 54.5%
Happy 45.7%
Sad 46.6%
Disgusted 45.3%
Calm 49.6%
Angry 45.8%
Surprised 45.8%
Confused 46.2%

AWS Rekognition

Age 23-38
Gender Male, 54.6%
Happy 45.5%
Calm 45.7%
Confused 45.3%
Surprised 45.3%
Angry 45.5%
Disgusted 52.5%
Sad 45.2%

AWS Rekognition

Age 15-25
Gender Male, 52.6%
Happy 46.6%
Angry 45.7%
Calm 46.7%
Surprised 45.4%
Sad 50.2%
Confused 45.3%
Disgusted 45.1%

AWS Rekognition

Age 17-27
Gender Male, 53.7%
Confused 45.3%
Surprised 45.3%
Calm 52.3%
Sad 46.6%
Disgusted 45%
Angry 45.5%
Happy 45%

AWS Rekognition

Age 35-52
Gender Female, 54.2%
Happy 45.2%
Disgusted 45.5%
Confused 45.7%
Sad 45.8%
Angry 45.5%
Surprised 45.7%
Calm 51.5%

AWS Rekognition

Age 29-45
Gender Male, 54.9%
Surprised 45.2%
Confused 45.5%
Angry 46.3%
Disgusted 45.4%
Happy 45.6%
Sad 46.6%
Calm 50.5%

AWS Rekognition

Age 26-44
Gender Male, 54.5%
Confused 45.2%
Surprised 45.1%
Angry 46%
Calm 49.6%
Happy 45.1%
Disgusted 45%
Sad 49%

AWS Rekognition

Age 60-90
Gender Male, 50.3%
Calm 49.5%
Sad 49.5%
Confused 49.6%
Disgusted 49.8%
Happy 49.5%
Surprised 49.5%
Angry 50%

AWS Rekognition

Age 38-57
Gender Male, 50.3%
Disgusted 49.5%
Calm 49.6%
Confused 49.5%
Angry 49.6%
Sad 50.2%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Surprised 46%
Calm 50.7%
Sad 45.4%
Disgusted 45.2%
Angry 45.8%
Happy 46.6%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Surprised 45.3%
Confused 45.2%
Sad 46.2%
Calm 52.3%
Angry 45.4%
Happy 45.4%
Disgusted 45.1%

AWS Rekognition

Age 12-22
Gender Male, 51.9%
Angry 46.1%
Calm 49.6%
Confused 45.4%
Disgusted 45.1%
Happy 45.3%
Sad 47.6%
Surprised 45.9%

AWS Rekognition

Age 23-38
Gender Male, 50.8%
Sad 54.6%
Angry 45.1%
Disgusted 45%
Calm 45.1%
Happy 45.2%
Confused 45%
Surprised 45%

AWS Rekognition

Age 38-59
Gender Male, 54.9%
Surprised 45.9%
Confused 46.1%
Angry 45.5%
Disgusted 45.2%
Happy 47.3%
Sad 45.7%
Calm 49.2%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Calm 50.3%
Happy 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Disgusted 45.3%
Angry 46.3%
Happy 46.1%
Sad 48.4%
Confused 46.4%
Calm 46.7%
Surprised 45.8%

AWS Rekognition

Age 23-38
Gender Male, 53.5%
Surprised 45.8%
Disgusted 45.4%
Angry 45.6%
Sad 47.9%
Happy 45.4%
Calm 49.4%
Confused 45.5%

AWS Rekognition

Age 2-5
Gender Male, 50.3%
Disgusted 49.5%
Sad 49.8%
Angry 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Surprised 45.3%
Disgusted 45.2%
Angry 45.7%
Sad 45.5%
Happy 49.6%
Calm 48.4%
Confused 45.3%

AWS Rekognition

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

AWS Rekognition

Age 4-9
Gender Female, 50%
Sad 49.9%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 4-7
Gender Female, 50%
Surprised 49.6%
Angry 49.6%
Confused 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.9%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Calm 49.8%
Disgusted 49.5%
Angry 49.6%
Happy 49.5%
Sad 50%
Surprised 49.5%

Feature analysis

Amazon

Person 97.8%
Painting 86.5%

Categories

Captions

Microsoft
created on 2018-04-19

a close up of a book 47%
close up of a book 41.6%
a hand holding a book 41.5%

Text analysis

Amazon

fecit
I.Callot
I.Callot I.Callot fecit
13

Google

I. Callot fecit- 13
I.
Callot
fecit-
13