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, M3314

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, M3314

Machine Generated Data

Tags

Amazon
created on 2019-08-08

Human 99.4
Person 99.4
Person 99.2
Person 95.7
Person 95.4
Art 93
Painting 93
Person 93
Building 86.9
Architecture 86.9
Person 86.6
Person 81
Person 77.2
Church 76.9
Altar 75.2
Person 53.5

Clarifai
created on 2019-08-08

religion 97.8
saint 97.2
art 94.9
god 94.7
illustration 94
people 93.2
holy 92.2
book 91.1
woman 89.2
church 87
spirituality 85.8
Mary 83.4
virgin 83.2
man 81.8
symbol 81.4
painting 80.6
Gothic 80.6
old 80.1
aura 78.8
Madonna 78.7

Imagga
created on 2019-08-08

altar 42.9
wall clock 41.5
clock 35.9
structure 32.8
old 27.2
timepiece 26.9
vintage 24.8
antique 23.5
money 22.1
ancient 21.6
art 20.7
currency 19.7
retro 18.8
cash 18.3
bank 17.9
banking 17.5
measuring instrument 17
paper 16.5
religion 16.1
architecture 15.6
finance 15.2
dollar 14.8
church 14.8
stamp 13.9
culture 13.7
grunge 13.6
exchange 13.4
letter 12.8
sculpture 12.7
post 12.4
business 12.1
one 11.9
historic 11.9
financial 11.6
mail 11.5
bill 11.4
travel 11.3
religious 11.2
wall 11.2
decoration 10.8
design 10.8
hundred 10.6
texture 10.4
icon 10.3
note 10.1
gold 9.9
postage 9.8
banknotes 9.8
envelope 9.7
banknote 9.7
dollars 9.6
detail 9.6
saint 9.6
door 9.5
savings 9.3
instrument 9.1
wealth 9
history 8.9
postmark 8.9
closeup 8.8
stained 8.6
close 8.6
window 8.5
traditional 8.3
pattern 8.2
aged 8.1
dirty 8.1
symbol 8.1
carving 7.9
stamps 7.9
postal 7.8
sacred 7.8
golden 7.7
us 7.7
holy 7.7
notes 7.7
god 7.6
temple 7.6
historical 7.5
frame 7.5
rich 7.4
investment 7.3
building 7.3
global 7.3
paint 7.2
museum 7.1

Google
created on 2019-08-08

Microsoft
created on 2019-08-08

painting 98.5
text 95.6
indoor 91.2
person 90.1
art 87.2
clothing 80.4
gallery 71
museum 61.7
picture frame 50.7

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Female, 98.8%
Sad 17.4%
Happy 5.3%
Calm 39.9%
Disgusted 2.8%
Confused 7.6%
Angry 10%
Surprised 17%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Sad 49.5%
Calm 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Calm 50.2%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.6%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.6%
Sad 50.3%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Calm 49.5%
Happy 49.5%
Confused 49.6%
Disgusted 49.9%
Sad 49.7%
Surprised 49.5%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Male, 52.4%
Calm 48.8%
Happy 48.8%
Sad 45.4%
Angry 45.4%
Disgusted 45.9%
Confused 45.2%
Surprised 45.5%

AWS Rekognition

Age 57-77
Gender Female, 51.5%
Happy 45.1%
Confused 45.2%
Calm 52.3%
Disgusted 45.2%
Angry 45.6%
Sad 46.4%
Surprised 45.2%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.8%
Happy 49.5%
Confused 49.5%
Calm 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Sad 49.9%
Happy 49.6%
Calm 49.5%
Disgusted 49.8%
Confused 49.5%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Sad 50.1%
Disgusted 49.5%
Angry 49.7%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.4%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Confused 49.5%
Sad 50.1%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.5%
Happy 49.5%
Sad 50.4%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.5%
Happy 49.6%
Sad 49.8%
Surprised 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 50%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Disgusted 49.5%
Calm 50.1%
Angry 49.6%
Sad 49.6%
Happy 49.6%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 38-57
Gender Male, 50.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.5%
Happy 49.5%
Calm 50.4%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Angry 49.6%
Surprised 49.6%
Sad 49.8%
Calm 49.9%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.2%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Sad 49.9%
Disgusted 49.7%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Sad 46.2%
Disgusted 45.2%
Calm 52.8%
Surprised 45.5%
Happy 45.1%
Confused 45.1%
Angry 45.2%

AWS Rekognition

Age 35-55
Gender Male, 50.2%
Surprised 49.6%
Sad 50.1%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.6%
Happy 49.5%
Sad 50.2%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 45-65
Gender Female, 50%
Calm 49.7%
Sad 50%
Angry 49.5%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 60-90
Gender Female, 50.3%
Surprised 49.9%
Disgusted 49.7%
Sad 49.6%
Confused 49.5%
Calm 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50%
Sad 49.8%
Confused 49.6%
Angry 49.8%
Disgusted 49.5%
Surprised 49.6%
Happy 49.7%
Calm 49.6%

AWS Rekognition

Age 27-44
Gender Male, 50.5%
Calm 50.1%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Sad 49.6%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 57-77
Gender Female, 50.4%
Angry 49.5%
Sad 49.6%
Happy 49.5%
Confused 49.6%
Calm 49.6%
Surprised 49.5%
Disgusted 50.2%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Angry 49.6%
Sad 49.9%
Disgusted 49.6%
Surprised 49.5%
Confused 49.5%
Happy 49.6%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Confused 49.7%
Angry 49.6%
Happy 49.7%
Surprised 49.6%
Calm 49.8%
Sad 49.7%
Disgusted 49.6%

Microsoft Cognitive Services

Age 54
Gender Male

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 32
Gender Female

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
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 99.4%
Painting 93%

Categories

Imagga

paintings art 100%

Captions

Text analysis

Amazon

EDWARD
EDWARD VI
VI
LENRY
IENRY
IENRY HE VIl LENRY VIII
HE
VIII
VIl
090
oe

Google

HENRY VIII HENRY VII EDWARD
HENRY
VIII
VII
EDWARD