Human Generated Data

Title

Death of the Earl of Chatham

Date

1791

People

Artist: Francesco Bartolozzi, Italian 1727 - 1815

Artist after: John Singleton Copley, American 1738 - 1815

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G191

Human Generated Data

Title

Death of the Earl of Chatham

People

Artist: Francesco Bartolozzi, Italian 1727 - 1815

Artist after: John Singleton Copley, American 1738 - 1815

Date

1791

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G191

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Art 99.5
Painting 99.5
Person 99
Human 99
Person 97.2
Person 96.1
Person 95.5
Person 93.2
Person 87.7
Person 87.4
Person 86.2
Person 77.8
Person 75.1
Person 73
Person 71.3
Person 67
Person 66.1
Person 62.4

Clarifai
created on 2018-02-10

people 100
many 99.7
group 99.5
adult 98.4
furniture 96.7
art 96.7
man 96.2
woman 94.9
seat 93.9
wear 93.4
administration 92.2
child 92.1
sit 91.7
print 91.7
crowd 90.9
room 90.2
music 89.8
kneeling 86.4
leader 86.4
elderly 85.2

Imagga
created on 2018-02-10

old 32.7
grunge 31.5
vintage 31.4
antique 29.6
art 29.3
structure 24.5
aged 24.4
texture 24.3
retro 23.7
blackboard 22.2
ancient 18.1
pattern 16.4
border 16.3
architecture 15.7
design 15.2
frame 15.2
grungy 15.2
paper 14.9
curtain 14.6
dirty 14.5
damaged 14.3
material 13.4
wallpaper 13
religion 12.5
sculpture 12.5
graphic 12.4
historic 11.9
black 11.4
grain 11.1
brown 11
paint 10.9
symbol 10.8
states 10.6
treasury 10.6
rusty 10.5
blind 10.4
covering 10.3
decoration 10.3
space 10.1
light 10
rough 10
wall 9.9
memorial 9.7
decay 9.6
textured 9.6
detailed 9.6
old fashioned 9.5
empty 9.4
historical 9.4
building 9.3
world 9.2
fountain 9.2
silhouette 9.1
statue 9
history 8.9
grime 8.8
rust 8.7
screen 8.7
depository 8.6
dirt 8.6
drawing 8.5
religious 8.4
decorative 8.3
city 8.3
highly 7.9
altar 7.9
text 7.9
photographic 7.8
artistic 7.8
noise 7.8
fracture 7.8
crumpled 7.8
crack 7.7
travel 7.7
house 7.7
edge 7.7
mask 7.7
spot 7.7
backdrop 7.4
man 7.4
artwork 7.3
digital 7.3
global 7.3
landmark 7.2
computer 7.2

Google
created on 2018-02-10

Microsoft
created on 2018-02-10

old 96.4
white 73.1
black 72.3
vintage 65.6
posing 36.9
clothes 17.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 54.6%
Happy 47%
Angry 45.5%
Disgusted 45.2%
Sad 50.1%
Surprised 45.2%
Calm 46.6%
Confused 45.4%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Surprised 45%
Sad 54.8%
Disgusted 45%
Calm 45.1%
Happy 45%
Angry 45%
Confused 45%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Happy 45.1%
Surprised 45.1%
Sad 52.1%
Angry 46.1%
Disgusted 45.2%
Confused 45.2%
Calm 46.3%

AWS Rekognition

Age 48-68
Gender Female, 53.8%
Disgusted 45.1%
Confused 45.1%
Happy 45.1%
Angry 45.3%
Calm 45.5%
Surprised 45.1%
Sad 53.7%

AWS Rekognition

Age 49-69
Gender Male, 51.3%
Confused 45.5%
Calm 49.6%
Surprised 45.4%
Sad 48.4%
Happy 45.3%
Disgusted 45.2%
Angry 45.6%

AWS Rekognition

Age 35-52
Gender Male, 53.8%
Surprised 45.5%
Happy 45.4%
Sad 48.8%
Disgusted 45.1%
Confused 45.4%
Calm 47.5%
Angry 47.2%

AWS Rekognition

Age 48-68
Gender Male, 54.8%
Surprised 45.2%
Angry 45.7%
Happy 45.3%
Sad 47.2%
Disgusted 45.1%
Confused 45.7%
Calm 50.8%

AWS Rekognition

Age 38-57
Gender Male, 54.3%
Happy 45.8%
Confused 45.2%
Angry 46.4%
Surprised 45.3%
Disgusted 45.6%
Calm 48.3%
Sad 48.4%

AWS Rekognition

Age 35-53
Gender Male, 54.1%
Calm 45.2%
Happy 45.1%
Disgusted 45.1%
Surprised 45.1%
Angry 45.2%
Sad 54.3%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Happy 45.5%
Sad 53.2%
Calm 45.7%
Confused 45.1%
Disgusted 45.1%
Angry 45.3%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Male, 51.8%
Happy 45.1%
Confused 45.1%
Angry 45.3%
Surprised 45.1%
Disgusted 45.1%
Calm 50%
Sad 49.3%

AWS Rekognition

Age 57-77
Gender Male, 52.7%
Disgusted 45.2%
Sad 47.2%
Happy 46%
Surprised 45.5%
Calm 49.7%
Angry 46%
Confused 45.4%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Calm 46.1%
Angry 45.5%
Disgusted 45.3%
Sad 52%
Surprised 45.2%
Confused 45.4%
Happy 45.4%

AWS Rekognition

Age 48-68
Gender Male, 53.2%
Happy 45%
Calm 45.2%
Angry 45.1%
Disgusted 45%
Sad 54.5%
Surprised 45%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 51%
Sad 46.1%
Disgusted 45.6%
Angry 46.1%
Calm 50.7%
Surprised 45.4%
Happy 45.9%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 52.5%
Confused 45.3%
Happy 45.1%
Surprised 45.2%
Angry 45.9%
Sad 46.4%
Calm 51.7%
Disgusted 45.4%

AWS Rekognition

Age 35-52
Gender Female, 51.8%
Disgusted 45.2%
Confused 45.2%
Happy 45%
Angry 50.3%
Calm 45.5%
Surprised 45.1%
Sad 48.7%

AWS Rekognition

Age 57-77
Gender Male, 54.8%
Calm 46%
Angry 45.7%
Surprised 45.1%
Sad 53.1%
Disgusted 45.1%
Happy 45.1%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 53.3%
Surprised 45%
Happy 45%
Disgusted 45%
Angry 45%
Confused 45%
Calm 54.8%
Sad 45.1%

AWS Rekognition

Age 45-65
Gender Male, 52.1%
Confused 45.2%
Sad 47.6%
Calm 49.4%
Disgusted 45.2%
Angry 46.5%
Happy 45.8%
Surprised 45.3%

AWS Rekognition

Age 48-68
Gender Male, 53.3%
Happy 45.9%
Calm 46.5%
Confused 45.8%
Sad 49.3%
Angry 46.2%
Surprised 45.7%
Disgusted 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 45.2%
Angry 45.9%
Calm 45.4%
Confused 45.3%
Disgusted 45.4%
Sad 52.7%
Surprised 45.2%

AWS Rekognition

Age 45-63
Gender Male, 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.7%
Disgusted 49.5%
Sad 50.2%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Male, 54%
Confused 45%
Happy 45.1%
Surprised 45.1%
Angry 45.1%
Sad 45.3%
Calm 54.1%
Disgusted 45.3%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.5%
Angry 49.7%
Disgusted 49.7%
Sad 49.8%
Surprised 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 60-90
Gender Male, 50.3%
Confused 49.5%
Surprised 49.5%
Disgusted 49.8%
Sad 49.8%
Happy 49.6%
Angry 49.5%
Calm 49.8%

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Angry 49.5%
Disgusted 49.5%
Sad 49.8%
Happy 49.5%
Calm 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 45-65
Gender Male, 54.7%
Happy 51.8%
Disgusted 45.8%
Confused 45.2%
Calm 45.7%
Angry 45.3%
Sad 45.9%
Surprised 45.3%

AWS Rekognition

Age 35-53
Gender Male, 51.9%
Happy 45.3%
Calm 51%
Confused 45.2%
Angry 45.2%
Sad 47.9%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 45-66
Gender Male, 50.5%
Calm 50.2%
Surprised 49.5%
Sad 49.5%
Angry 49.5%
Disgusted 49.7%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Surprised 49.5%
Calm 50.1%
Sad 49.7%
Confused 49.5%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Surprised 49.5%
Angry 49.5%
Calm 50.2%
Disgusted 49.5%
Sad 49.7%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 54.7%
Confused 45.6%
Sad 49.3%
Surprised 46%
Angry 46.1%
Calm 46.4%
Happy 45.9%
Disgusted 45.6%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Sad 46.3%
Calm 53%
Disgusted 45%
Surprised 45.1%
Angry 45.3%
Happy 45.1%
Confused 45.3%

AWS Rekognition

Age 57-77
Gender Male, 54.6%
Disgusted 45.3%
Confused 45.4%
Surprised 45.3%
Calm 47.5%
Angry 46.6%
Happy 45.5%
Sad 49.3%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.5%
Sad 50.1%
Surprised 49.5%
Confused 49.5%
Calm 49.8%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Happy 45.1%
Disgusted 45.1%
Confused 45.3%
Calm 49.2%
Angry 45.3%
Sad 49.7%
Surprised 45.2%

AWS Rekognition

Age 29-45
Gender Male, 51%
Angry 47.8%
Happy 45.5%
Calm 47.9%
Sad 46.6%
Confused 45.5%
Surprised 45.9%
Disgusted 45.7%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.3%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Male, 53.7%
Disgusted 45.3%
Confused 45.1%
Surprised 45.2%
Calm 45.3%
Angry 45.6%
Happy 45.7%
Sad 52.9%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.9%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Calm 50.1%
Angry 49.6%
Confused 49.5%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 50.3%
Angry 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 48-68
Gender Male, 52.3%
Happy 45.1%
Calm 54.5%
Angry 45.1%
Disgusted 45.1%
Sad 45.1%
Confused 45.1%
Surprised 45.1%

AWS Rekognition

Age 49-69
Gender Female, 50.8%
Calm 45.1%
Happy 52%
Angry 45.2%
Surprised 45.1%
Sad 47.1%
Confused 45.1%
Disgusted 45.4%

AWS Rekognition

Age 60-90
Gender Female, 52.4%
Happy 49.9%
Surprised 45.4%
Disgusted 45.2%
Sad 46.8%
Angry 45.3%
Confused 45.2%
Calm 47.3%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Sad 49.7%
Happy 50.2%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Sad 49.9%
Angry 49.6%
Disgusted 49.8%
Happy 49.7%
Calm 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 49.7%
Surprised 49.7%
Disgusted 49.6%
Angry 49.6%
Calm 49.7%
Happy 49.7%
Confused 49.6%

AWS Rekognition

Age 45-63
Gender Female, 52.3%
Surprised 45.9%
Happy 45.7%
Sad 46.3%
Calm 49.6%
Disgusted 45.3%
Angry 46.7%
Confused 45.4%

AWS Rekognition

Age 38-57
Gender Male, 54.9%
Confused 45.5%
Surprised 45.7%
Disgusted 49.1%
Sad 45.5%
Happy 46%
Angry 46.8%
Calm 46.4%

Feature analysis

Amazon

Painting 99.5%
Person 99%

Text analysis

Amazon

molt
Riajesti
r
molt r excellent Riajesti
excellent
Pate
01'
TIE;
TIE
K'A R
olhe Pate TIE DIth 01' TIE; K'A R Of (1.1T1M
(1.1T1M
DIth
aa
olhe
Of

Google

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