Human Generated Data

Title

Key to the Death of the Earl of Chatham
Date

1791
People

Artist: Abraham Raimbach, British, English 1776 - 1843

Artist after: Francesco Bartolozzi, Italian 1727 - 1815

Artist after: John Singleton Copley, American 1738 - 1815
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gray Collection of Engravings Fund, G4271

Human Generated Data

Title

Key to the Death of the Earl of Chatham

People

Artist: Abraham Raimbach, British, English 1776 - 1843

Artist after: Francesco Bartolozzi, Italian 1727 - 1815

Artist after: John Singleton Copley, American 1738 - 1815

Date

1791

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Text 97.7
Art 87.3
Drawing 70.6
Painting 69.5
Page 58.6
Scroll 57.1

Clarifai
created on 2018-02-10

people 99.9
print 99.4
paper 99.2
document 97.9
adult 97.6
sepia pigment 96.5
illustration 95.9
text 95.7
no person 95.6
vintage 95.5
art 95.4
antique 95.4
retro 95.3
old 95.3
lithograph 94.4
man 94.4
correspondence 92.9
administration 92.8
group 92.8
note 91.5

Imagga
created on 2018-02-10

envelope 100
container 65.7
old 41.2
vintage 39
paper 37.7
antique 29.5
retro 28.7
grunge 26.4
texture 23.7
ancient 23.4
book 23
text 21.9
page 20.4
aged 19.9
money 18.8
map 16.6
sepia 16.5
cash 15.6
letter 14.7
finance 14.4
currency 14.4
wallpaper 13
note 12.9
states 12.6
close 12.6
bank 12.6
dollar 12.1
blank 12
art 11.7
bill 11.4
word 11.3
travel 11.3
card 11.3
design 11.3
document 11.2
pattern 11
history 10.8
geography 10.6
new 10.5
print 10.4
frame 10
dirty 10
atlas 9.9
gold 9.9
world 9.8
business 9.7
holiday 9.3
globe 9.3
religion 9
brown 8.8
textured 8.8
continent 8.8
dollars 8.7
read 8.7
parchment 8.7
exchange 8.6
capital 8.6
structure 8.6
planet 8.5
sheet 8.5
decorative 8.4
journal 8.3
historic 8.3
tourism 8.3
backdrop 8.3
message 8.2
symbol 8.1
detail 8.1
country 7.9
expedition 7.9
drawing 7.9
brass 7.9
location 7.8
words 7.8
banknote 7.8
hundred 7.8
empty 7.7
navigation 7.7
pay 7.7
postcard 7.7
floral 7.7
grungy 7.6
horizontal 7.6
journey 7.5
religious 7.5
ocean 7.5
rough 7.3
border 7.2
open 7.2

Google
created on 2018-02-10

text 86.7
history 60
font 51.1

Microsoft
created on 2018-02-10

text 99.5

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Confused 45.4%
Sad 53.6%
Surprised 45.1%
Angry 45.2%
Calm 45.2%
Happy 45%
Disgusted 45.5%

AWS Rekognition

Age 35-53
Gender Male, 55%
Happy 45%
Calm 53.4%
Angry 45.2%
Disgusted 45%
Sad 45.4%
Surprised 45.1%
Confused 45.8%

AWS Rekognition

Age 45-63
Gender Male, 54.9%
Disgusted 45%
Confused 45.1%
Happy 45%
Angry 45.1%
Calm 54.4%
Surprised 45%
Sad 45.3%

AWS Rekognition

Age 49-69
Gender Male, 54.7%
Sad 52.2%
Disgusted 45.1%
Angry 46.5%
Calm 45.4%
Surprised 45.2%
Happy 45.2%
Confused 45.5%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Calm 50%
Angry 45.6%
Surprised 45.3%
Sad 47.7%
Disgusted 45.2%
Happy 45.4%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Surprised 45.2%
Angry 45.4%
Disgusted 45%
Confused 45.4%
Happy 45.1%
Calm 52.4%
Sad 46.4%

AWS Rekognition

Age 35-52
Gender Male, 53%
Happy 45%
Surprised 45.3%
Angry 46.2%
Calm 48.1%
Disgusted 45.2%
Sad 49.5%
Confused 45.5%

AWS Rekognition

Age 60-90
Gender Male, 54.4%
Confused 45.4%
Angry 45.6%
Surprised 45.2%
Happy 45.2%
Calm 45.6%
Disgusted 45.2%
Sad 52.9%

AWS Rekognition

Age 60-90
Gender Female, 50.6%
Surprised 46.1%
Happy 45.8%
Disgusted 45.3%
Angry 47.8%
Confused 45.7%
Calm 46.3%
Sad 48.1%

AWS Rekognition

Age 26-43
Gender Male, 52.2%
Angry 45.6%
Disgusted 45.1%
Sad 46.3%
Happy 45.1%
Calm 52.2%
Surprised 45.4%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 51.7%
Angry 45.7%
Happy 45.1%
Disgusted 45.1%
Calm 49.8%
Sad 48.4%
Surprised 45.4%
Confused 45.5%

AWS Rekognition

Age 35-55
Gender Male, 54.9%
Calm 53.1%
Happy 45.5%
Angry 45.2%
Surprised 45.2%
Sad 45.3%
Confused 45.2%
Disgusted 45.6%

AWS Rekognition

Age 16-27
Gender Male, 54.9%
Disgusted 45.6%
Confused 46%
Surprised 45.4%
Calm 51.2%
Angry 46.2%
Happy 45.2%
Sad 45.5%

AWS Rekognition

Age 29-45
Gender Male, 52.9%
Confused 46.6%
Sad 48%
Calm 46.3%
Disgusted 46.3%
Angry 46.1%
Happy 45.8%
Surprised 45.9%

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Happy 45.4%
Angry 45.5%
Calm 51.4%
Confused 45.7%
Disgusted 45.4%
Sad 45.8%
Surprised 45.7%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Disgusted 45.1%
Surprised 45.4%
Angry 45.7%
Happy 45.2%
Sad 47.2%
Confused 45.8%
Calm 50.6%

AWS Rekognition

Age 35-52
Gender Male, 54.5%
Sad 49.5%
Happy 45.2%
Angry 46.4%
Calm 47.8%
Surprised 45.3%
Confused 45.7%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Male, 53.4%
Confused 45.1%
Angry 45.6%
Sad 45.3%
Calm 53.4%
Happy 45%
Disgusted 45.3%
Surprised 45.2%

AWS Rekognition

Age 60-90
Gender Male, 50.8%
Confused 45.4%
Sad 45.9%
Surprised 45.5%
Angry 45.7%
Calm 51.8%
Happy 45.2%
Disgusted 45.5%

AWS Rekognition

Age 30-47
Gender Male, 52.9%
Confused 45.1%
Surprised 45.1%
Disgusted 53.6%
Sad 45.2%
Happy 45.1%
Angry 45.4%
Calm 45.6%

AWS Rekognition

Age 20-38
Gender Male, 52.4%
Angry 45.3%
Happy 45.2%
Calm 45.9%
Surprised 45.1%
Sad 53.1%
Disgusted 45.1%
Confused 45.3%

AWS Rekognition

Age 48-68
Gender Male, 54.8%
Happy 45.7%
Disgusted 45.8%
Angry 46.7%
Confused 46.2%
Calm 46.2%
Surprised 45.8%
Sad 48.6%

AWS Rekognition

Age 49-69
Gender Male, 52.3%
Calm 48.4%
Happy 45.6%
Disgusted 45.4%
Surprised 45.4%
Angry 46%
Sad 48.1%
Confused 46%

AWS Rekognition

Age 48-68
Gender Male, 54.9%
Angry 45.1%
Calm 54.3%
Confused 45.1%
Surprised 45.1%
Sad 45.1%
Disgusted 45.1%
Happy 45.2%

AWS Rekognition

Age 35-52
Gender Male, 52.2%
Disgusted 45%
Sad 54.9%
Angry 45.1%
Calm 45%
Surprised 45%
Happy 45%
Confused 45%

AWS Rekognition

Age 20-38
Gender Male, 52.4%
Happy 45.6%
Sad 45.5%
Calm 46.1%
Confused 46.1%
Disgusted 47.7%
Surprised 46%
Angry 48%

AWS Rekognition

Age 35-52
Gender Male, 53.3%
Disgusted 45.1%
Confused 45.4%
Happy 45.2%
Angry 45.4%
Calm 47.4%
Surprised 45.2%
Sad 51.4%

AWS Rekognition

Age 57-77
Gender Female, 53.2%
Surprised 45.5%
Sad 45.5%
Disgusted 46.1%
Calm 47.2%
Happy 45.1%
Angry 49.3%
Confused 46.3%

AWS Rekognition

Age 45-65
Gender Female, 53.1%
Surprised 45%
Calm 45%
Sad 54.8%
Confused 45%
Angry 45.1%
Happy 45%
Disgusted 45%

AWS Rekognition

Age 57-77
Gender Male, 50.5%
Calm 50.2%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.6%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 54%
Surprised 46.7%
Disgusted 48.3%
Confused 45.7%
Happy 45.9%
Calm 46.4%
Sad 45.7%
Angry 46.3%

AWS Rekognition

Age 57-77
Gender Male, 54.9%
Disgusted 45.1%
Sad 50.5%
Calm 47.7%
Surprised 45.2%
Happy 45.1%
Confused 45.6%
Angry 45.7%

AWS Rekognition

Age 48-68
Gender Female, 50.5%
Angry 49.6%
Happy 49.8%
Calm 49.8%
Sad 49.7%
Confused 49.5%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.1%
Calm 49.6%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.2%

AWS Rekognition

Age 35-52
Gender Male, 53.9%
Happy 45.1%
Angry 45.6%
Calm 46.9%
Confused 45.7%
Disgusted 45.1%
Sad 51.5%
Surprised 45.2%

AWS Rekognition

Age 19-36
Gender Female, 51.8%
Happy 54%
Calm 45%
Angry 45.1%
Disgusted 45%
Sad 45.8%
Surprised 45.1%
Confused 45%

AWS Rekognition

Age 20-38
Gender Male, 54.7%
Sad 45.7%
Surprised 45.7%
Disgusted 46.3%
Angry 46.3%
Calm 48.7%
Happy 45.2%
Confused 47%

AWS Rekognition

Age 57-77
Gender Male, 54.8%
Calm 53.1%
Angry 45.2%
Surprised 45.7%
Sad 45.1%
Disgusted 45.2%
Happy 45.3%
Confused 45.4%

AWS Rekognition

Age 38-57
Gender Male, 54.6%
Surprised 46.2%
Calm 47.8%
Confused 46%
Happy 45.7%
Angry 46.5%
Disgusted 45.4%
Sad 47.5%

AWS Rekognition

Age 45-63
Gender Male, 50.6%
Happy 45.1%
Sad 45.4%
Calm 53.1%
Confused 45.3%
Disgusted 45.3%
Angry 45.4%
Surprised 45.3%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Disgusted 49.5%
Sad 50.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 52.7%
Happy 45.4%
Sad 49.4%
Calm 45.8%
Confused 45.5%
Disgusted 45.3%
Surprised 45.4%
Angry 48.3%

AWS Rekognition

Age 27-44
Gender Female, 54.5%
Surprised 45.4%
Calm 45.5%
Sad 52.5%
Confused 45.5%
Angry 45.5%
Happy 45.5%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Sad 45.5%
Angry 45.2%
Disgusted 45%
Happy 45.5%
Calm 53.3%
Confused 45.3%
Surprised 45.1%

AWS Rekognition

Age 45-65
Gender Male, 54.9%
Happy 45.1%
Angry 46.1%
Disgusted 45.2%
Sad 51.1%
Surprised 45.1%
Calm 46.7%
Confused 45.7%

AWS Rekognition

Age 26-44
Gender Male, 54.8%
Surprised 45.4%
Angry 45.8%
Happy 45.3%
Sad 46.5%
Disgusted 45.1%
Confused 45.5%
Calm 51.4%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.5%
Surprised 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 49-69
Gender Male, 50.2%
Happy 49.7%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.3%
Calm 49.5%

AWS Rekognition

Age 57-77
Gender Male, 54.9%
Disgusted 45.2%
Surprised 45.4%
Angry 45.5%
Happy 45.4%
Sad 46.4%
Confused 45.8%
Calm 51.3%

AWS Rekognition

Age 45-63
Gender Male, 54.9%
Sad 46.4%
Calm 50.1%
Disgusted 45.2%
Surprised 45.5%
Angry 46.8%
Happy 45.6%
Confused 45.5%

AWS Rekognition

Age 35-55
Gender Male, 52.9%
Angry 45.8%
Happy 45.5%
Calm 50.7%
Sad 46.4%
Confused 45.7%
Surprised 45.7%
Disgusted 45.2%

AWS Rekognition

Age 45-63
Gender Male, 54.9%
Sad 46.8%
Disgusted 45.3%
Angry 46.5%
Calm 49.5%
Surprised 45.5%
Happy 45.7%
Confused 45.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 49.6%
Happy 49.5%
Disgusted 49.8%
Confused 49.5%
Angry 49.8%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Happy 45%
Surprised 45.1%
Sad 45.2%
Angry 46.1%
Disgusted 50.8%
Confused 45.2%
Calm 47.6%

Microsoft Cognitive Services

Age 31
Gender Male

Captions

Microsoft

an old photo of a person 34.3%
a close up of text on a white surface 34.2%
a person and text 34.1%

Text analysis

Amazon

DEATH
CHATHAM.
LATE
DEATH OF THE LATE EARLON CHATHAM.
EARLON
Plate
fhhep
THE
OF
S
bheke. MOptay; Plate fhhep
MOptay;
bheke.
Lantios