Human Generated Data

Title

The redoubled applause is such an affront to us

Date

18th century

People

Artist: Louis Michel Halbou, French 1730 - 1809

Artist after: Clément Pierre Marillier, French 1740 - 1808

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of W. G. Russell Allen and Paul J. Sachs, M9235

Human Generated Data

Title

The redoubled applause is such an affront to us

People

Artist: Louis Michel Halbou, French 1730 - 1809

Artist after: Clément Pierre Marillier, French 1740 - 1808

Date

18th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of W. G. Russell Allen and Paul J. Sachs, M9235

Machine Generated Data

Tags

Amazon
created on 2019-11-09

Art 96
Painting 89.3
Human 74.7
Person 74.7

Clarifai
created on 2019-11-09

people 99.4
art 98.8
painting 97.1
adult 95
illustration 94.3
portrait 94.3
print 93.8
old 93.2
retro 91.4
picture frame 90.6
vintage 89.9
one 89.4
man 89.2
wear 88.3
leader 88
antique 85.9
decoration 84.7
building 82.8
architecture 81.8
ancient 78.9

Imagga
created on 2019-11-09

brass 100
memorial 96
structure 72.4
old 40.5
vintage 39.8
ancient 32
antique 31.7
wall 30.8
art 25.6
texture 25.1
architecture 22.7
retro 21.3
grunge 20.5
stone 20.4
aged 19.9
frame 19.2
history 18.8
paper 18.1
door 17.1
sculpture 17
letter 16.5
design 16.3
culture 16.3
building 16
carving 15.6
religion 15.3
decoration 15
pattern 13.7
stamp 13.6
temple 13.3
detail 12.9
postage 12.8
travel 12.7
mail 12.5
border 11.8
stucco 11.8
post 11.5
church 11.1
postmark 10.9
arch 10.8
entrance 10.6
obsolete 10.6
rusty 10.5
ornament 10.4
brown 10.3
blank 10.3
monument 10.3
historic 10.1
ornate 10.1
wood 10
material 9.8
postal 9.8
decor 9.7
museum 9.7
window 9.7
decorative 9.2
traditional 9.2
binding 9.1
gold 9.1
dirty 9.1
style 8.9
metal 8.9
textured 8.8
gate 8.8
parchment 8.7
worn 8.6
empty 8.6
old fashioned 8.6
historical 8.5
religious 8.4
cover 8.3
backdrop 8.3
rough 8.2
surface 8
carved 7.8
tile 7.7
damaged 7.6
weathered 7.6
east 7.5
tourism 7.4
classic 7.4
close 7.4
symbol 7.4
wooden 7

Google
created on 2019-11-09

Microsoft
created on 2019-11-09

text 97.1
person 95
black 88.7
clothing 88.1
drawing 79.8
book 75.8
white 71.3
old 57.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 4-12
Gender Male, 50.2%
Happy 49.5%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Fear 49.5%
Sad 50.4%
Angry 49.5%

AWS Rekognition

Age 10-20
Gender Female, 50.1%
Confused 49.5%
Fear 49.5%
Happy 50.1%
Calm 49.6%
Disgusted 49.5%
Sad 49.5%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 17-29
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Calm 50.5%
Happy 49.5%
Angry 49.5%
Sad 49.5%
Fear 49.5%
Disgusted 49.5%

AWS Rekognition

Age 24-38
Gender Male, 50.4%
Angry 49.5%
Happy 50.2%
Sad 49.5%
Surprised 49.6%
Fear 49.7%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Angry 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Fear 50%
Happy 49.5%
Sad 49.5%
Surprised 49.9%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Confused 49.5%
Happy 49.5%
Fear 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 50.2%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 18-30
Gender Male, 50.2%
Calm 49.6%
Confused 49.6%
Happy 49.5%
Fear 49.5%
Disgusted 49.7%
Angry 49.9%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

Age 4-14
Gender Female, 50.4%
Calm 50.2%
Sad 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Fear 49.5%
Surprised 49.8%

AWS Rekognition

Age 36-52
Gender Female, 50.4%
Happy 49.5%
Sad 49.5%
Confused 49.5%
Surprised 49.5%
Angry 50.4%
Disgusted 49.5%
Fear 49.5%
Calm 49.5%

AWS Rekognition

Age 4-12
Gender Male, 50.4%
Surprised 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%
Angry 49.5%
Calm 50.4%
Sad 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.2%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.5%
Happy 49.5%
Calm 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50.1%
Calm 49.8%
Disgusted 49.5%
Sad 49.5%
Fear 49.5%
Confused 49.5%
Happy 50.1%
Surprised 49.6%
Angry 49.5%

Feature analysis

Amazon

Painting 89.3%
Person 74.7%

Categories

Captions

Text analysis

Amazon

pour
onl
/
aulaznt-
EEMil .
applintavaot
C.
Lar applintavaot retoubls onl aulaznt-
retoubls
efon pour nowr.
Lar
efon
C. C Nooiles /
Bw. clanl
Nooiles
nowr.
C

Google

TEMILE Lar applaudiaranent redoubles ont autant affonts pour nous L.Ballbo C. CMartler D 16
TEMILE
Lar
applaudiaranent
redoubles
ont
autant
affonts
pour
nous
L.Ballbo
C.
CMartler
D
16