Human Generated Data

Title

Abigail Asking David's Forgiveness
Date

c. 1584-85
People

Artist: Unidentified Artist,

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

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, 2011.613.98

Human Generated Data

Title

Abigail Asking David's Forgiveness

People

Artist: Unidentified Artist,

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1584-85

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.98

Machine Generated Data

Tags

Amazon
created on 2019-06-25

Person 97.7
Human 97.7
Art 97
Person 96.7
Person 95.4
Painting 90.1
Person 83.7
Person 80.2
Person 80.1
Person 77.7
Person 68.6
Person 67.8
Drawing 56.3

Clarifai
created on 2019-06-25

illustration 99.2
art 99.1
painting 98.8
people 98.7
man 95.7
woman 93.2
son 93.1
print 92.5
retro 90.3
old 90.3
vintage 89.9
veil 88.3
adult 88.1
group 86.5
manuscript 85.5
religion 84.9
ancient 83.2
wear 83
child 82.5
sword 82.4

Imagga
created on 2019-06-25

vintage 40.5
stamp 33
mail 32.6
old 31.4
postmark 30.6
comic book 30.6
envelope 29.9
retro 29.5
postage 29.5
letter 29.4
postal 25.5
tray 23.5
printed 21.7
money 20.4
book jacket 20.1
ancient 19
receptacle 19
currency 18.8
book 18.8
philately 18.8
circa 18.8
shows 18.7
art 18.3
binding 18.2
container 18.2
post 18.1
global 17.3
aged 16.3
symbol 16.2
finance 16.1
product 15.7
jacket 15.6
paper 14.9
stamps 14.8
cash 13.7
card 13.6
communications 13.4
creation 13.2
black 13.2
banking 12.9
jigsaw puzzle 12.8
message 12.8
icon 12.7
bank 12.5
unique 12.3
print media 12.2
antique 12.1
one 12
wrapping 11.9
museum 11.7
cutting 11.6
insulating material 11.6
financial 11.6
painted 11.5
bill 11.4
painter 11.3
office 11.3
savings 11.2
dollar 11.1
culture 11.1
church 11.1
post mail 10.9
zigzag 10.9
masterpiece 10.9
known 10.9
renaissance 10.8
paintings 10.8
delivery 10.7
business 10.3
close 10.3
grunge 10.2
puzzle 10.1
collection 9.9
fame 9.9
covering 9.8
letters 9.7
exchange 9.5
fine 9.5
man 9.4
religion 9
map 8.9
address 8.8
chalkboard 8.8
banknote 8.7
game 8.7
states 8.7
building material 8.7
payment 8.7
stained 8.7
united 8.6
design 8.4
board 8.2
wealth 8.1
post office 7.9
decoration 7.8
wall 7.7
pay 7.7
texture 7.6
communication 7.6
note 7.4
investment 7.3
object 7.3
world 7.2
history 7.2
graffito 7.1

Google
created on 2019-06-25

Painting 94
Art 86.8
Illustration 79.6
Miniature 63.5
Visual arts 59.3
Watercolor paint 58.2
Picture frame 57.5
Antique 57.3
Modern art 53.1

Microsoft
created on 2019-06-25

drawing 98.3
text 97.5
cartoon 97.2
indoor 92.8
person 89.3
book 86.2
clothing 83.7
child art 79.6
sketch 70.5
gallery 65.2
decorated 33.1
painting 26.7
picture frame 26.1

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Angry 45.9%
Surprised 46.9%
Sad 46.7%
Confused 46.9%
Happy 45.3%
Disgusted 45.2%
Calm 48.1%

AWS Rekognition

Age 26-43
Gender Female, 51.6%
Surprised 45.1%
Angry 45.2%
Happy 45%
Sad 53.2%
Disgusted 45%
Calm 46.3%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 51.9%
Disgusted 45.1%
Sad 46.7%
Happy 45.7%
Confused 45.1%
Angry 45.2%
Surprised 45.1%
Calm 52.1%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Angry 45.2%
Disgusted 45.1%
Sad 45.4%
Happy 45.1%
Surprised 45.2%
Confused 45.2%
Calm 53.8%

AWS Rekognition

Age 38-59
Gender Female, 50%
Sad 46.5%
Calm 49.1%
Happy 45.6%
Angry 47.5%
Confused 45.3%
Disgusted 45.6%
Surprised 45.4%

AWS Rekognition

Age 23-38
Gender Male, 54.4%
Surprised 45.5%
Sad 47.8%
Disgusted 45.4%
Calm 49.4%
Confused 45.4%
Happy 45.3%
Angry 46.1%

AWS Rekognition

Age 35-55
Gender Female, 52.5%
Calm 45%
Happy 46%
Disgusted 51%
Sad 46.3%
Angry 45.5%
Confused 45.6%
Surprised 45.5%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Angry 49.6%
Sad 49.6%
Happy 49.5%
Surprised 49.5%
Calm 50%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Female, 54.7%
Angry 45%
Surprised 45%
Sad 54.9%
Calm 45%
Disgusted 45%
Happy 45%
Confused 45%

Microsoft Cognitive Services

Age 28
Gender Female

Feature analysis

Amazon

Person 97.7%
Painting 90.1%

Categories

Imagga

paintings art 98.7%
text visuals 1.1%

Text analysis

Amazon

sarpair
Qucis
montes
aud
munera
bigadl
108
queat
fert
bigadl montes Fcandens, fert munera Secum Qucis queat Iaicum, conciliare frbi Regum
Regum
apny
conciliare
Fcandens,
rnesntr
Iaicum,
Secum
satyal,
edex
a'la
aud rnesntr satyal, sarpair edex apny Prent.Ltr ng.l Dys 39.
frbi
Dys
39.
Prent.Ltr
ng.l

Google

conciliare
fibi
Regum
la
r.nuntr
mart
z5.39
1.
t08 Aigarl Seandens, fert Jerum montcs Queis queat Ifaicum, conciliare fibi muncra Regum cap. 25. e dixpa aus a p ont Mabal la r.nuntr mart z5.39 1.
t08
Aigarl
Seandens,
fert
Jerum
montcs
Queis
queat
Ifaicum,
muncra
cap.
25.
e
dixpa
aus
a
p
ont
Mabal