Human Generated Data

Title

Jehu Destroying the Temple and Statue of Baal
Date

1569
People

Artist: Philips Galle, Netherlandish 1537 - 1612

Artist after: Maarten van Heemskerck, Netherlandish 1498 - 1574
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Kate, Maurice R., and Melvin R. Seiden Purchase Fund and Richard Norton Memorial Fund, M22184

Human Generated Data

Title

Jehu Destroying the Temple and Statue of Baal

People

Artist: Philips Galle, Netherlandish 1537 - 1612

Artist after: Maarten van Heemskerck, Netherlandish 1498 - 1574

Date

1569

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Kate, Maurice R., and Melvin R. Seiden Purchase Fund and Richard Norton Memorial Fund, M22184

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 96.5
Person 96.5
Art 96.1
Person 95.1
Person 95
Person 90.4
Person 88.2
Person 85.5
Painting 83.5
Drawing 79.4
Person 77.9
Person 42.7

Clarifai
created on 2018-02-09

art 99.8
people 99.8
illustration 98.9
print 98.7
painting 97.6
engraving 97.3
man 97.3
adult 97.2
group 95.9
Renaissance 94.8
cavalry 92.1
religion 90.3
antique 90
administration 89.9
saint 89.5
weapon 89.1
old 88.1
one 88.1
sword 88
ancient 87.3

Imagga
created on 2018-02-09

old 39
vintage 38.9
binding 37.7
grunge 36.6
texture 34.1
antique 32.7
paper 30.6
ancient 30.3
retro 26.2
art 26.1
tile 24.5
aged 23.5
wall 20.8
design 20.3
pattern 19.8
wallet 17.6
map 17.1
money 17
arabesque 17
material 17
frame 16.7
border 16.3
decoration 15.7
historic 15.6
cash 15.6
currency 15.3
structure 15.1
container 14.6
representation 14.3
case 13.9
floral 13.6
finance 13.5
history 13.4
wallpaper 13
drawing 13
sketch 12.8
travel 12.7
parchment 12.5
damaged 12.4
rusty 12.4
old fashioned 12.4
color 12.2
mosaic 12.2
backgrounds 12.2
grain 12
close 12
dirty 11.8
architecture 11.7
fracture 11.7
faded 11.7
bank 11.7
crack 11.6
business 11.5
grungy 11.4
note 11
grime 10.8
world 10.6
detail 10.5
textures 10.4
style 10.4
brown 10.3
dollar 10.2
banking 10.1
financial 9.8
mottled 9.8
crumpled 9.7
surface 9.7
decay 9.7
bill 9.5
stone 9.5
empty 9.5
culture 9.4
page 9.3
carving 9.2
backdrop 9.1
tracery 8.9
atlas 8.9
stains 8.8
symbol 8.8
banknote 8.7
torn 8.7
us 8.7
geography 8.7
obsolete 8.6
exchange 8.6
stucco 8.4
transducer 8.3
letter 8.3
global 8.2
graphic 8
decor 8
textured 7.9
ragged 7.8
payment 7.7
pay 7.7
spot 7.7
worn 7.6
traditional 7.5
rich 7.4
sculpture 7.3
wealth 7.2
building 7.1
graffito 7

Google
created on 2018-02-09

art 82.4
history 76.2
artwork 59.6
drawing 57.8
printmaking 54.6
ancient history 53.5
visual arts 50.8

Microsoft
created on 2018-02-09

text 99.5
book 96.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 52.2%
Happy 45.1%
Confused 45.2%
Sad 51.5%
Angry 45.5%
Calm 47.2%
Disgusted 45.2%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 50.9%
Confused 45.6%
Surprised 45.5%
Angry 45.8%
Happy 45.7%
Calm 48%
Disgusted 45.1%
Sad 49.3%

AWS Rekognition

Age 35-52
Gender Female, 52.3%
Confused 45%
Surprised 45%
Disgusted 45%
Happy 45%
Sad 54.1%
Calm 45%
Angry 45.7%

AWS Rekognition

Age 20-38
Gender Male, 51.9%
Disgusted 45.7%
Happy 45.2%
Surprised 48.3%
Sad 46.8%
Calm 48.6%
Angry 45.3%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.6%
Surprised 49.5%
Angry 49.5%
Sad 50%
Happy 49.5%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Sad 50%
Calm 49.7%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.5%
Calm 49.5%
Sad 50.1%
Confused 49.5%
Disgusted 49.5%
Happy 49.7%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Sad 49.7%
Disgusted 50.1%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Happy 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.7%
Angry 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.8%
Confused 49.9%
Happy 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.2%
Calm 49.6%
Sad 50.3%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 45.1%
Surprised 45.1%
Disgusted 45%
Happy 45.2%
Sad 46.7%
Calm 52.5%
Angry 45.4%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.6%
Angry 49.6%
Calm 49.6%
Happy 49.5%
Sad 50.1%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 50%
Angry 49.6%
Happy 49.6%
Calm 49.8%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 54.5%
Disgusted 46%
Confused 46.4%
Angry 48%
Surprised 46.1%
Happy 45.8%
Sad 46.3%
Calm 46.4%

AWS Rekognition

Age 26-43
Gender Male, 53.4%
Sad 47.1%
Disgusted 45.2%
Surprised 45.3%
Calm 50.7%
Angry 46.3%
Happy 45.2%
Confused 45.3%

AWS Rekognition

Age 20-38
Gender Male, 53.7%
Happy 45.3%
Confused 46.1%
Disgusted 47.2%
Sad 48.9%
Angry 45.8%
Calm 46%
Surprised 45.7%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 50%
Happy 49.5%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%

Feature analysis

Amazon

Person 96.5%
Painting 83.5%

Categories

Imagga

paintings art 98.1%
streetview architecture 1.8%

Captions

Microsoft
created on 2018-02-09

a close up of a book 62.3%
close up of a book 56.4%
a book on a wood surface 56.3%

Text analysis

Amazon

dona
mimen
fortis
colofsi
difiecit
GFrande mimen fortis
combulsit
Babal difiecit Tehu, Cunctag combulsit difiecet dona colofsi Regum
difiecet
Babal
Cunctag
Tehu,
GFrande
Regum
leloo

Google

dffecit Lehu, it difiecti dona
dffecit
Lehu,
it
difiecti
dona