Human Generated Data

Title

The Mass

Date

1729-1742

People

Artist: A. Claude Philippe de Thubières comte de Caylus, French 1692 - 1765

Artist: Nicolas Le Sueur, French 1691 - 1764

Artist after: Polidoro da Caravaggio, Italian c. 1499 - 1543

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Winslow Ames, M8233

Human Generated Data

Title

The Mass

People

Artist: A. Claude Philippe de Thubières comte de Caylus, French 1692 - 1765

Artist: Nicolas Le Sueur, French 1691 - 1764

Artist after: Polidoro da Caravaggio, Italian c. 1499 - 1543

Date

1729-1742

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Winslow Ames, M8233

Machine Generated Data

Tags

Amazon
created on 2022-01-15

Painting 99.4
Art 99.4
Person 63
Human 63
Archaeology 58.1

Clarifai
created on 2023-10-26

art 98.1
people 97.9
illustration 97.7
man 94.8
adult 93.9
Renaissance 93.4
ancient 93.4
painting 92.2
religion 91.9
veil 91.5
no person 91
woman 90.5
group 89.4
text 87.8
sculpture 87.3
retro 86.3
old 85.7
Gothic 85.7
god 85.4
cavalry 85.3

Imagga
created on 2022-01-15

stucco 54.6
old 39.7
ancient 33.8
vintage 30.6
art 28.7
paper 27.5
grunge 27.3
antique 27.2
texture 24.3
wall 24.1
frame 20.8
history 20.6
retro 20.5
aged 19.9
design 19.4
carving 18.6
historic 18.4
border 18.1
sculpture 18.1
structure 17.9
money 17
sketch 16.3
binding 15.9
architecture 15.7
drawing 15.4
monument 15
currency 14.4
empty 13.8
culture 13.7
stone 13.5
material 13.4
decoration 13.1
finance 12.7
parchment 12.5
stamp 12.5
damaged 12.4
temple 12.3
grain 12
travel 12
floral 11.9
cash 11.9
brown 11.8
grime 11.7
crumpled 11.7
bank 11.7
pattern 11.6
rusty 11.4
backgrounds 11.4
historical 11.3
detail 11.3
blank 11.2
page 11.1
style 11.1
landmark 10.8
memorial 10.8
wallpaper 10.7
representation 10.7
fracture 10.7
decay 10.6
old fashioned 10.5
bill 10.5
graphic 10.2
envelope 10.1
symbol 10.1
dirty 9.9
wealth 9.9
carved 9.8
ragged 9.8
mottled 9.8
faded 9.7
crack 9.7
statue 9.5
textures 9.5
classic 9.3
banking 9.2
letter 9.2
card 9.1
business 9.1
brass 9
financial 8.9
container 8.9
stains 8.8
text 8.7
savings 8.4
famous 8.4
dollar 8.4
decorative 8.4
artwork 8.2
gold 8.2
museum 8.1
tracery 8
decor 8
textured 7.9
broad 7.9
manuscript 7.8
artistic 7.8
die 7.8
nobody 7.8
bills 7.8
ornament 7.8
golden 7.7
dollars 7.7
pay 7.7
traditional 7.5
backdrop 7.4
book 7.4
success 7.2
religion 7.2
building 7.1

Google
created on 2022-01-15

Art 84.6
Painting 81.9
Illustration 70.9
Drawing 70.6
History 69.1
Font 68.1
Visual arts 67.8
Holy places 66.6
Paper 63.2
Paper product 63.1
Mythology 62
Antique 61.7
Artwork 60.7
Rectangle 60.6
Ancient history 60
Collection 56.2
Book 51.7
Prophet 51.1
Middle ages 50.5

Microsoft
created on 2022-01-15

wall 98.4
person 94.6
text 94.4
clothing 87.1
drawing 74.9
old 70.6
gallery 52.7
painting 28.7
vintage 25.4
plaque 17.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 19-27
Gender Female, 99.7%
Calm 81.3%
Angry 7.4%
Confused 3.3%
Sad 2.5%
Disgusted 1.7%
Happy 1.5%
Fear 1.5%
Surprised 0.8%

AWS Rekognition

Age 23-33
Gender Male, 88.6%
Calm 84.4%
Angry 9.8%
Disgusted 2%
Fear 0.9%
Sad 0.9%
Happy 0.7%
Confused 0.7%
Surprised 0.6%

AWS Rekognition

Age 20-28
Gender Male, 99.7%
Calm 89.5%
Fear 4.8%
Happy 1.5%
Sad 1.5%
Confused 1%
Disgusted 0.7%
Surprised 0.6%
Angry 0.5%

AWS Rekognition

Age 19-27
Gender Female, 91.2%
Calm 51.6%
Sad 28%
Fear 8.4%
Confused 3.6%
Disgusted 3.4%
Angry 2.8%
Happy 1.1%
Surprised 1%

AWS Rekognition

Age 18-26
Gender Male, 74.9%
Confused 36.8%
Angry 21.1%
Sad 12.7%
Surprised 11.2%
Fear 6.8%
Calm 3.9%
Happy 3.8%
Disgusted 3.6%

AWS Rekognition

Age 18-24
Gender Male, 59.4%
Calm 92.2%
Happy 4.3%
Sad 0.9%
Disgusted 0.7%
Angry 0.6%
Confused 0.5%
Surprised 0.5%
Fear 0.2%

AWS Rekognition

Age 22-30
Gender Male, 84.8%
Calm 41%
Happy 35.2%
Sad 14.8%
Confused 3.6%
Disgusted 2%
Angry 1.9%
Surprised 0.7%
Fear 0.7%

AWS Rekognition

Age 21-29
Gender Male, 93.4%
Calm 85.9%
Angry 7.2%
Confused 2.3%
Surprised 1.4%
Sad 1.1%
Fear 0.8%
Disgusted 0.8%
Happy 0.4%

AWS Rekognition

Age 20-28
Gender Female, 53.6%
Calm 90.5%
Sad 2.2%
Disgusted 2%
Angry 1.8%
Confused 1.4%
Happy 1%
Fear 0.6%
Surprised 0.5%

AWS Rekognition

Age 26-36
Gender Female, 90.8%
Sad 46.6%
Happy 45.6%
Fear 2.1%
Calm 1.7%
Angry 1.3%
Surprised 1.3%
Confused 0.9%
Disgusted 0.6%

AWS Rekognition

Age 18-24
Gender Female, 98.2%
Sad 65%
Calm 14.5%
Confused 7.8%
Fear 5.5%
Angry 3.3%
Disgusted 1.7%
Happy 1.2%
Surprised 0.9%

AWS Rekognition

Age 20-28
Gender Female, 51.6%
Calm 59.6%
Sad 16.5%
Happy 12.5%
Confused 3.6%
Angry 3.2%
Fear 2.4%
Surprised 1.3%
Disgusted 0.9%

AWS Rekognition

Age 20-28
Gender Male, 92%
Sad 87.5%
Calm 5.5%
Angry 2.3%
Disgusted 2.2%
Confused 1.1%
Happy 0.8%
Surprised 0.3%
Fear 0.2%

AWS Rekognition

Age 9-17
Gender Female, 99.9%
Calm 43.5%
Confused 14.1%
Surprised 9.8%
Fear 9.5%
Angry 7.8%
Disgusted 5.8%
Happy 5.2%
Sad 4.2%

AWS Rekognition

Age 14-22
Gender Female, 91.3%
Angry 71.6%
Confused 9.5%
Disgusted 7%
Surprised 4.9%
Calm 3.3%
Sad 2.1%
Fear 0.8%
Happy 0.8%

AWS Rekognition

Age 25-35
Gender Female, 99.9%
Confused 33.2%
Disgusted 21.5%
Happy 15.5%
Calm 13.3%
Angry 9.2%
Surprised 4.6%
Sad 1.7%
Fear 1%

AWS Rekognition

Age 18-26
Gender Female, 67.5%
Calm 43.7%
Angry 22.4%
Sad 17.6%
Fear 6.1%
Disgusted 3.6%
Confused 2.3%
Happy 2.1%
Surprised 2.1%

AWS Rekognition

Age 21-29
Gender Male, 99.5%
Calm 56.8%
Disgusted 29.3%
Confused 7.2%
Sad 3.3%
Angry 1.4%
Surprised 0.8%
Happy 0.6%
Fear 0.6%

AWS Rekognition

Age 23-31
Gender Female, 98%
Calm 51.8%
Confused 18.8%
Happy 11.3%
Angry 6.7%
Disgusted 3.9%
Fear 3.3%
Sad 2.5%
Surprised 1.7%

AWS Rekognition

Age 28-38
Gender Male, 94.5%
Calm 98.2%
Confused 1.1%
Disgusted 0.2%
Sad 0.2%
Angry 0.1%
Happy 0.1%
Surprised 0.1%
Fear 0%

AWS Rekognition

Age 25-35
Gender Male, 55.8%
Calm 94.3%
Sad 1.3%
Happy 1%
Fear 0.8%
Angry 0.8%
Disgusted 0.7%
Surprised 0.6%
Confused 0.4%

AWS Rekognition

Age 30-40
Gender Male, 89.7%
Calm 97.2%
Disgusted 1.1%
Fear 0.6%
Confused 0.5%
Happy 0.2%
Angry 0.2%
Sad 0.1%
Surprised 0.1%

AWS Rekognition

Age 26-36
Gender Male, 84.9%
Calm 53.6%
Happy 17.7%
Disgusted 15.6%
Fear 5.6%
Confused 2.9%
Angry 2.5%
Surprised 1%
Sad 0.9%

AWS Rekognition

Age 26-36
Gender Male, 87.3%
Calm 61.1%
Sad 30.7%
Happy 2.7%
Disgusted 1.9%
Angry 1%
Fear 0.9%
Confused 0.9%
Surprised 0.8%

AWS Rekognition

Age 16-22
Gender Male, 60.6%
Calm 32.7%
Fear 22.2%
Sad 10.8%
Angry 9.3%
Disgusted 8.5%
Confused 6.7%
Happy 5.7%
Surprised 4.2%

AWS Rekognition

Age 10-18
Gender Female, 99.6%
Calm 55.4%
Fear 21.6%
Disgusted 11.4%
Happy 4%
Angry 3.3%
Sad 1.9%
Surprised 1.3%
Confused 1.2%

AWS Rekognition

Age 22-30
Gender Female, 80.8%
Calm 94.1%
Fear 2.7%
Disgusted 1.1%
Happy 0.8%
Angry 0.7%
Sad 0.3%
Surprised 0.2%
Confused 0.1%

Feature analysis

Amazon

Painting 99.4%
Person 63%

Categories

Captions

Text analysis

Amazon

Polidore
Cabinet
de
dans
La
Grave
est
dessein
Caravage
par
Sueur
Dessine
bois
le
71
La Messe
D'après le dessein de Polidore de Caravage qui est dans le Cabinet de M. Crozaw
M.
Messe
eten
Dessine el Grave par м. le C. de c eten bois par Nicolas le Sueur
qui
c
Crozaw
Nicolas
C.
D'après
el
м. le

Google

La Messe D'aprés le dessein de Polidore de Cararage, qui est dans le Cabinet de M. Crozars. Dessine et Grave par Mle C. de C et en bois par Nicolas le Sueur. 71
La
Messe
D'aprés
le
dessein
de
Polidore
Cararage,
qui
est
dans
Cabinet
M.
Crozars.
Dessine
et
Grave
par
Mle
C.
C
en
bois
Nicolas
Sueur.
71