Human Generated Data

Title

Saint Peter Reviving Tabitha
Date

17th century
People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Giovanni Baglione, Italian 1566 - 1643
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.57.3

Human Generated Data

Title

Saint Peter Reviving Tabitha

People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Giovanni Baglione, Italian 1566 - 1643

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, S3.57.3

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Human 97.8
Person 97.8
Person 97.5
Person 96.9
Person 95.6
Person 95.5
Person 94.3
Art 93.9
Person 93.4
Person 92.2
Person 92.2
Painting 88.7
Person 86.4
Angel 58.3
Archangel 58.3

Clarifai
created on 2018-04-19

illustration 99.9
people 99.9
art 99.9
print 99.7
engraving 99.5
woodcut 98.8
religion 98.5
man 98.3
painting 98.2
book 97.5
visuals 96.5
saint 95.8
etching 95.7
adult 95.5
god 94.5
group 93.5
leader 93
gown (clothing) 92.4
royalty 91.4
facial hair 91.3

Imagga
created on 2018-04-19

sketch 50
drawing 41.8
mosaic 39.1
art 38.4
representation 31.9
design 22.1
antique 21.8
pattern 21.2
transducer 21
texture 20.1
old 19.5
vintage 19
detail 16.9
grunge 16.2
religion 16.1
electrical device 15.8
artistic 13.9
ancient 13.8
decoration 13.6
paper 13.3
gold 13.2
retro 13.1
lace 12.7
traditional 12.5
ornament 12.1
church 12
money 11.9
style 11.9
currency 11.7
frame 11.7
textured 11.4
light 11.4
painting 10.8
history 10.7
color 10.6
travel 10.6
close 10.3
culture 10.3
black 10.2
device 10.2
graphic 10.2
interior 9.7
stamp 9.7
tile 9.6
painted 9.5
shape 9.5
finance 9.3
wallpaper 9.2
cash 9.2
futuristic 9
bank 9
financial 8.9
masterpiece 8.9
renaissance 8.8
architecture 8.8
icon 8.7
religious 8.4
dollar 8.4
decorative 8.4
banking 8.3
tourism 8.3
effect 8.2
aged 8.1
border 8.1
digital 8.1
symbol 8.1
colorful 7.9
arabesque 7.8
gown 7.7
golden 7.7
modern 7.7
flower 7.7
mail 7.7
ornamental 7.6
prayer rug 7.6
structure 7.4
generated 7.4
fractal 7.3
letter 7.3
global 7.3
embroidery 7.2
shiny 7.1

Google
created on 2018-04-19

art 83.1
history 81.9
black and white 77
religion 65.2
mythology 62.5
middle ages 60.8
illustration 57.6
fictional character 57
monochrome 56.5
human behavior 55.8
prophet 55.6
visual arts 50.6

Microsoft
created on 2018-04-19

text 100
book 100

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Angry 45.5%
Happy 45.3%
Disgusted 45.2%
Confused 45.4%
Surprised 45.5%
Sad 45.9%
Calm 52.2%

AWS Rekognition

Age 26-43
Gender Male, 54.2%
Angry 45.6%
Surprised 45.3%
Calm 45.2%
Disgusted 52.6%
Sad 45.4%
Happy 45.4%
Confused 45.4%

AWS Rekognition

Age 23-38
Gender Male, 54.4%
Angry 46%
Disgusted 45.1%
Calm 49.7%
Confused 45.3%
Surprised 45.2%
Happy 45.3%
Sad 48.4%

AWS Rekognition

Age 35-52
Gender Male, 51.8%
Angry 47.2%
Sad 48.5%
Confused 45.7%
Happy 46.5%
Disgusted 45.3%
Surprised 45.5%
Calm 46.4%

AWS Rekognition

Age 23-38
Gender Male, 54.5%
Happy 45.2%
Sad 45.9%
Confused 45.3%
Surprised 45.1%
Disgusted 45.1%
Calm 48%
Angry 50.4%

AWS Rekognition

Age 26-44
Gender Male, 54.7%
Happy 45.1%
Disgusted 45.1%
Calm 51.4%
Sad 46.5%
Angry 46%
Confused 45.4%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 47.4%
Angry 46.1%
Confused 45.5%
Calm 49.7%
Disgusted 45.5%
Surprised 45.4%
Happy 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 46.3%
Surprised 46.6%
Angry 45.6%
Happy 45.4%
Calm 48.1%
Confused 47.8%
Disgusted 45.2%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 46.7%
Angry 47.3%
Calm 50.1%
Surprised 45.3%
Disgusted 45.1%
Happy 45.1%
Confused 45.4%

AWS Rekognition

Age 30-47
Gender Male, 54.9%
Calm 52.1%
Disgusted 45.1%
Confused 45.7%
Surprised 45.2%
Angry 45.7%
Happy 45.1%
Sad 46.1%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Angry 45.4%
Surprised 45.2%
Confused 45.2%
Disgusted 45.1%
Happy 45.2%
Sad 45.8%
Calm 53.2%

AWS Rekognition

Age 20-38
Gender Male, 51.5%
Happy 45%
Disgusted 45.1%
Calm 46%
Sad 52.9%
Angry 45.5%
Confused 45.3%
Surprised 45.2%

AWS Rekognition

Age 11-18
Gender Male, 54.8%
Angry 46.8%
Surprised 45.1%
Calm 49.2%
Disgusted 45%
Sad 48.6%
Happy 45.1%
Confused 45.2%

AWS Rekognition

Age 10-15
Gender Female, 52%
Happy 45.3%
Calm 46.2%
Confused 47.1%
Surprised 46.2%
Angry 48.1%
Disgusted 45.6%
Sad 46.6%

Feature analysis

Amazon

Person 97.8%
Painting 88.7%

Categories

Imagga

paintings art 99.4%
streetview architecture 0.6%

Captions

Microsoft
created on 2018-04-19

a close up of a book 47%
close up of a book 41.7%
a hand holding a book 41.6%

Text analysis

Amazon

Cav.
Baglinnt
Cav. Baglinnt pinkit
I.Callot
pinkit