Human Generated Data

Title

Hamor and Shechem Asking Jacob for Dinah's Hand in Marriage
Date

c. 1569
People

Artist: Jan Harmensz. Muller, Dutch 1571 - 1628

Artist after: Maarten van Heemskerck, Netherlandish 1498 - 1574

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, 2011.613.27

Human Generated Data

Title

Hamor and Shechem Asking Jacob for Dinah's Hand in Marriage

People

Artist: Jan Harmensz. Muller, Dutch 1571 - 1628

Artist after: Maarten van Heemskerck, Netherlandish 1498 - 1574

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1569

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.27

Machine Generated Data

Tags

Amazon
created on 2019-07-02

Person 99.2
Human 99.2
Person 97.7
Art 95.6
Person 95.6
Person 93.7
Person 88.8
Person 86.7
Book 84.7
Painting 78.9

Clarifai
created on 2019-07-02

painting 99.7
art 99.7
illustration 99.6
people 99.5
print 99.1
woman 97.8
religion 97.6
man 96.3
saint 96.2
veil 96.1
kneeling 95.1
Renaissance 95.1
manuscript 95
adult 94.9
god 94.2
group 94.2
gown (clothing) 93.2
son 92
lithograph 91.4
aura 90.9

Imagga
created on 2019-07-02

graffito 100
decoration 80.3
vintage 40.5
old 32.8
postmark 29.6
letter 29.4
mail 28.7
stamp 28.1
retro 27
postage 26.5
postal 26.5
art 26.5
envelope 26.5
ancient 23.4
painter 22.4
grunge 20.4
paper 19.6
global 19.1
post 19.1
antique 19.1
church 17.6
aged 17.2
religion 17
printed 16.7
culture 16.2
philately 15.8
circa 15.8
shows 14.8
painted 14.3
stamps 13.8
paint 13.6
museum 13.6
map 13.2
texture 13.2
masterpiece 12.8
symbol 12.8
money 12.8
card 12.8
icon 12.7
communications 12.5
office 12.1
renaissance 11.8
paintings 11.7
delivery 11.7
currency 11.7
god 11.5
design 11.3
comic book 10.9
post mail 10.9
zigzag 10.9
fame 10.9
known 10.9
painting 10.8
world 10.8
black 10.8
history 10.7
cutting 10.6
fine 10.5
one 10.5
unique 10.4
message 10
stained 9.6
wall 9.5
color 9.5
closeup 9.4
banking 9.2
frame 9.2
travel 9.2
cash 9.2
bank 9
pattern 8.9
address 8.8
letters 8.7
artist 8.7
geography 8.7
drawing 8.6
bill 8.6
finance 8.4
religious 8.4
dirty 8.1
business 7.9
torn 7.7
holy 7.7
saint 7.7
exchange 7.6
gold 7.4
note 7.4
artwork 7.3
country 7

Google
created on 2019-07-02

Painting 93.4
Art 89.5
Illustration 73.8
Watercolor paint 65.7
History 62.6
Miniature 62.5
Antique 57.3
Visual arts 55
Picture frame 54.8
Tapestry 52.4

Microsoft
created on 2019-07-02

drawing 99.1
painting 98.7
cartoon 94.4
person 91.4
sketch 88.7
stationary 84.4
child art 84.3
clothing 83.8
book 68.3
envelope 25.4
picture frame 15.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 57-77
Gender Male, 51.9%
Disgusted 45.2%
Happy 45.2%
Confused 45.6%
Angry 47.6%
Calm 48.2%
Sad 47.5%
Surprised 45.6%

AWS Rekognition

Age 26-43
Gender Female, 52.2%
Happy 45.9%
Calm 52.3%
Disgusted 45.2%
Angry 45.3%
Confused 45.2%
Surprised 45.6%
Sad 45.4%

AWS Rekognition

Age 48-68
Gender Female, 50.5%
Happy 45.2%
Surprised 45.1%
Disgusted 45.4%
Sad 52.3%
Calm 45.5%
Confused 45.1%
Angry 46.4%

AWS Rekognition

Age 38-57
Gender Female, 50%
Disgusted 45.2%
Happy 45.2%
Sad 47.5%
Angry 45.7%
Calm 49.1%
Surprised 46.3%
Confused 46%

AWS Rekognition

Age 35-52
Gender Female, 51.5%
Happy 45.4%
Surprised 45.5%
Sad 49.7%
Angry 46.4%
Confused 45.4%
Calm 46.1%
Disgusted 46.5%

AWS Rekognition

Age 23-38
Gender Female, 51.9%
Confused 45.2%
Happy 45.3%
Disgusted 45.1%
Sad 46.8%
Calm 52%
Surprised 45.2%
Angry 45.2%

AWS Rekognition

Age 23-38
Gender Female, 54.4%
Confused 45.1%
Disgusted 45.1%
Angry 45.1%
Calm 53.9%
Sad 45.3%
Happy 45.3%
Surprised 45.1%

AWS Rekognition

Age 45-65
Gender Female, 52.2%
Surprised 45.4%
Disgusted 45.3%
Happy 45.4%
Calm 47.5%
Sad 49.1%
Confused 45.4%
Angry 47%

AWS Rekognition

Age 26-43
Gender Male, 52.7%
Surprised 45.5%
Disgusted 45.4%
Angry 45.8%
Calm 47.7%
Sad 49.9%
Confused 45.3%
Happy 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 45.2%
Happy 45.3%
Sad 53.4%
Calm 45.9%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 35-52
Gender Male, 53.7%
Angry 46.8%
Surprised 45.6%
Calm 48.9%
Happy 45%
Sad 47.4%
Disgusted 45.3%
Confused 45.8%

AWS Rekognition

Age 48-68
Gender Male, 52%
Angry 45.7%
Confused 45.3%
Sad 49.5%
Disgusted 45.2%
Happy 46.5%
Surprised 45.4%
Calm 47.4%

AWS Rekognition

Age 26-43
Gender Female, 53.1%
Disgusted 45.6%
Calm 46.8%
Surprised 45.3%
Angry 46.3%
Happy 45.7%
Sad 49.8%
Confused 45.5%

AWS Rekognition

Age 48-68
Gender Male, 52.9%
Calm 50.6%
Surprised 45.1%
Sad 48.2%
Disgusted 45.1%
Happy 45.5%
Angry 45.2%
Confused 45.1%

Feature analysis

Amazon

Person 99.2%
Book 84.7%
Painting 78.9%

Categories

Imagga

paintings art 74.9%
events parties 14.7%
people portraits 6%
text visuals 3%

Captions

Microsoft
created on 2019-07-02

a close up of a box 44.5%
close up of a box 37.9%
a close up of a decorated wall 37.8%

Text analysis

Amazon

so
33
paix
Sichem
Himoy
pace
Vruere
filiam
querunt
cum
acoord
Homor ct Sichem querunt matrimunim filiam arob, Vruere in pace cum co Gene.
Gene.
lrilon
matrimunim
lrilon d acoord l ains
arob,
co
l ains
Thna
d
in
au't
eJacsb
l9.mman.nrt
Himoy G icGiT so flr apsts Thna nr'rcsi'nt rres paix c au't eJacsb C
Homor ct
rres
G icGiT
apsts
l9.mman.nrt hn
nr'rcsi'nt
flr
c
hn
C

Google

33 Gene. 3 4 filiam Tarob pace voln dina nrcsnt paix Caceurd Sichem guerunt Vuere Hemor et Cum Co matrimonunt in et fle Hmor 0 Segam l9ma. Son 34 8
33
Gene.
3
4
filiam
Tarob
pace
voln
dina
nrcsnt
paix
Caceurd
Sichem
guerunt
Vuere
Hemor
et
Cum
Co
matrimonunt
in
fle
Hmor
0
Segam
l9ma.
Son
34
8