Human Generated Data

Title

[An English Monarch]
Date

19th century
People

Artist: Joseph Martin Kronheim, German 1810 - 1896

Previous attribution: George Baxter, British 1804 - 1867
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Charles H. Taylor, M3319

Human Generated Data

Title

[An English Monarch]

People

Artist: Joseph Martin Kronheim, German 1810 - 1896

Previous attribution: George Baxter, British 1804 - 1867

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Charles H. Taylor, M3319

Machine Generated Data

Tags

Amazon
created on 2019-08-08

Art 95.9
Human 89.7
Person 89.7
Person 86.5
Person 84.7
Person 82.5
Person 78.1
Person 78
Painting 67.3
Ornament 59.6
Tapestry 59.6
Person 42
Person 41.9

Clarifai
created on 2019-08-08

illustration 98.8
art 98.3
religion 95.2
old 94.6
god 94.2
people 92.5
painting 92.2
saint 90.3
man 89.4
vintage 88.6
print 88.5
crown 87.8
retro 86.3
symbol 85.5
ancient 84.7
antique 84.4
decoration 84.2
church 83.9
Gothic 82.8
book 82.1

Imagga
created on 2019-08-08

graffito 33.5
vintage 31.4
old 30.7
decoration 26.3
art 24.6
stamp 23.8
antique 22.1
religion 20.6
church 20.4
letter 20.2
retro 19.7
mail 19.1
comic book 18.7
paper 18
ancient 17.3
grunge 17
money 17
postmark 16.8
postage 16.7
post 16.2
currency 14.4
icon 14.3
architecture 14.1
texture 13.9
postal 13.7
cash 13.7
design 13.7
collection 13.5
note 12.9
symbol 12.8
aged 12.7
finance 12.7
treasury 11.7
bank 11.6
pattern 11.6
detail 11.3
religious 11.2
clock 11.2
envelope 11.2
banking 11
banknote 10.7
saint 10.6
wall 10.4
structure 10.3
dollar 10.2
frame 10
holy 9.6
stained 9.6
tile 9.6
window 9.6
bill 9.5
culture 9.4
historic 9.2
travel 9.2
gold 9
stamps 8.9
printed 8.9
bible 8.8
paintings 8.8
faith 8.6
god 8.6
golden 8.6
exchange 8.6
close 8.6
black 8.4
sign 8.3
style 8.2
paint 8.1
dirty 8.1
wall clock 8.1
financial 8
museum 8
depository 7.9
timepiece 7.9
masterpiece 7.9
philately 7.9
dollars 7.7
notes 7.7
obsolete 7.7
painted 7.6
grungy 7.6
print media 7.5
sculpture 7.5
one 7.5
classic 7.4
tourism 7.4
page 7.4
object 7.3
business 7.3
colorful 7.2
painter 7.1
textured 7

Google
created on 2019-08-08

Painting 79.3
Art 76.1
Illustration 75.9
History 70.9
Stock photography 67.6
Miniature 63.2
Picture frame 62.8
Icon 54.8

Microsoft
created on 2019-08-08

painting 98.5
text 97.5
art 90.3
person 88.8
clothing 65.5
picture frame 60.7
cartoon 55.3
museum 50.7

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 23-37
Gender Female, 82.9%
Happy 2%
Calm 78%
Angry 5.7%
Sad 4.8%
Confused 2.6%
Disgusted 2%
Fear 1.8%
Surprised 3.1%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.5%
Calm 49.5%
Happy 50.3%
Disgusted 49.5%
Surprised 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Calm 49.6%
Sad 49.5%
Disgusted 49.8%
Angry 49.7%
Happy 49.6%
Surprised 49.7%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Calm 50.4%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Sad 49.6%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 50.3%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Sad 50.1%
Happy 49.5%
Confused 49.5%
Disgusted 49.6%
Calm 49.5%
Angry 49.8%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Sad 50.3%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 96.2%
Happy 1.9%
Angry 6.4%
Disgusted 0.7%
Sad 10.6%
Confused 6.3%
Surprised 5.1%
Calm 69%

AWS Rekognition

Age 35-52
Gender Male, 52.7%
Angry 45.2%
Happy 45.1%
Confused 45.1%
Sad 47.2%
Disgusted 45.1%
Surprised 45.1%
Calm 52.3%

AWS Rekognition

Age 26-43
Gender Female, 95.9%
Angry 3.1%
Calm 82%
Happy 0.9%
Confused 3.3%
Disgusted 1.7%
Surprised 2.8%
Sad 6.2%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 49.6%
Happy 49.5%
Calm 49.6%
Confused 49.6%
Sad 50.1%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.5%
Happy 49.7%
Sad 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.6%
Disgusted 50%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Confused 49.5%
Sad 49.7%
Disgusted 49.8%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50%
Surprised 49.6%
Disgusted 49.7%
Sad 49.7%
Confused 49.5%
Calm 49.6%
Happy 49.7%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Calm 49.6%
Angry 49.6%
Confused 49.5%
Happy 49.5%
Sad 50%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.5%
Disgusted 49.5%
Sad 50.4%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.5%
Confused 49.5%
Happy 49.6%
Disgusted 49.5%
Sad 50.2%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.6%
Happy 49.5%
Sad 50.2%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Calm 49.5%
Happy 49.6%
Sad 50.2%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Surprised 49.5%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Confused 49.5%
Happy 49.5%
Angry 49.7%
Calm 49.5%
Disgusted 49.8%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Sad 49.8%
Calm 50%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Sad 49.5%
Angry 50.3%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50%
Confused 49.5%
Calm 49.6%
Sad 50.3%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Happy 49.7%
Angry 49.6%
Confused 49.6%
Disgusted 49.7%
Calm 49.6%
Surprised 49.7%
Sad 49.6%

AWS Rekognition

Age 57-77
Gender Female, 50.2%
Confused 49.5%
Sad 49.9%
Calm 49.6%
Disgusted 49.7%
Happy 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Happy 49.5%
Confused 49.6%
Calm 49.6%
Disgusted 49.7%
Angry 49.8%
Sad 49.8%
Surprised 49.5%

AWS Rekognition

Age 57-77
Gender Male, 50.1%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Sad 50.1%
Disgusted 49.6%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.3%
Calm 49.5%
Surprised 49.5%
Sad 50.1%
Happy 49.6%
Angry 49.6%
Disgusted 49.7%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.4%
Sad 49.8%
Angry 49.6%
Confused 49.6%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.7%
Surprised 49.6%
Sad 49.7%
Calm 49.5%
Happy 49.6%
Disgusted 49.9%
Confused 49.5%

Microsoft Cognitive Services

Age 34
Gender Female

Microsoft Cognitive Services

Age 37
Gender Female

Microsoft Cognitive Services

Age 32
Gender Female

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Person 89.7%
Painting 67.3%

Categories

Imagga

paintings art 100%

Text analysis

Amazon

EORGE
IV
TOTORII
WILLLIAM IV
EORGE IV
WILLLIAM
ERD

Google

/2
IN
ICTORI
/2 PLIAN FEORGE IN ICTORI
PLIAN
FEORGE