Human Generated Data

Title

Characters and Caricaturas
Date

c. 1743
People

Artist: Unidentified Artist,

Artist after: William Hogarth, British 1697 - 1764
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gray Collection of Engravings Fund, G4718

Human Generated Data

Title

Characters and Caricaturas

People

Artist: Unidentified Artist,

Artist after: William Hogarth, British 1697 - 1764

Date

c. 1743

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gray Collection of Engravings Fund, G4718

Machine Generated Data

Tags

Amazon
created on 2023-10-23

Art 100
Painting 100
Person 95.6
Person 95.1
Person 94.8
Baby 94.8
Face 94.7
Head 94.7
Person 92
Person 91.1
Person 90.3
Baby 90.3
Person 90.1
Person 89.9
Person 89.3
Person 87.8
Person 87.6
Person 87.3
Person 84.3
Person 84.2
Person 83.5
Baby 83.5
Person 83.4
Person 82.9
Person 81.6
Person 81.6
Person 81.4
Person 79.8
Person 79.2
Person 77.6
Person 77.4
Person 77.4
Person 76.7
Person 76.7
Person 76.3
Person 76.1
Person 75.8
Person 75.7
Person 75.6
Person 74.7
Baby 74.7
Person 74.6
Person 74.4
Person 74.4
Baby 74.4
Person 74.3
Baby 74.3
Person 74.2
Person 74.1
Person 74
Person 73.6
Person 72.6
Crowd 72.6
Person 72.1
Person 72.1
Person 70.4
Person 70.2
Person 69.5
Person 69.4
Person 69.3
Person 68.7
Person 68.3
Person 68.3
Person 68.3
Person 67.8
Person 66.9
Person 66
Person 65.5
Person 65.2
Person 65
Person 64.8
Person 64.6
Person 64.2
Person 63.9
Person 63.9
Person 63.5
Person 63.5
Person 63.1
Person 62.7
Person 62.6
Person 61.9
Person 61.5
Person 60.9
Person 60.9
Person 60.2
Person 60.2
Person 59.7
Person 58.7
Drawing 57.7
Audience 57.7
Person 57.3
Person 57.1
Text 56.3
Accessories 55.1
Home Decor 55

Clarifai
created on 2019-02-27

desktop 97
illustration 96.5
art 96.1
paper 95.5
pattern 94.6
decoration 94.2
design 94
retro 92.2
texture 91.1
antique 90.2
symbol 89.9
old 89.7
collection 89.2
ancient 89
vintage 88.9
style 86.1
wealth 85.8
dollar 85.1
sign 83
image 82.9

Imagga
created on 2019-02-27

arabesque 55.8
vintage 34.8
pattern 33.6
old 32.1
retro 32
antique 31.9
design 31
texture 29.9
art 29.9
floral 29
wallpaper 24.5
decoration 24
paper 22.8
decor 22.1
ornament 21.6
ornate 20.2
style 20.1
decorative 19.2
graphic 19
grunge 18.8
drawing 18.6
flower 17.7
element 17.4
leaf 17.2
frame 16.4
seamless 16.2
damask 15.8
card 15
backdrop 14.9
swirl 14.8
tile 14.7
ornamental 14.3
silhouette 14.1
map 13.8
scroll 13.4
textile 13.3
elements 13
backgrounds 13
border 12.7
fabric 12.3
ancient 12.1
black 12
shape 11.9
symbol 11.5
elegant 11.2
traditional 10.8
bank 10.8
sign 10.5
plant 10.5
dollar 10.2
money 10.2
set 10.2
collection 9.9
surface 9.7
invitation 9.7
finance 9.3
classic 9.3
elegance 9.3
close 9.1
branch 9.1
wealth 9
currency 9
brown 8.8
stucco 8.7
stencil 8.6
wall 8.6
label 8.5
handicraft 8.5
page 8.4
foliage 8.3
wedding 8.3
cash 8.2
pirate 8
interior 8
repetition 7.9
repeat 7.8
insulating material 7.8
sepia 7.8
modern 7.7
bill 7.6
print 7.6
greeting 7.4
gold 7.4
rough 7.3
business 7.3
paint 7.3
detail 7.3
painting 7.2
world 7.1
textured 7
curve 7

Google
created on 2019-02-27

Botany 81
Art 73.1
Textile 71.8
Artwork 63.8
Drawing 63.2
Plant 58.5
Illustration 50.4

Microsoft
created on 2019-02-27

fabric 14.9
black and white 14.9
pattern 14.5
monochrome 10.4
art 3.7
flower 2.1

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 25-35
Gender Female, 53.2%
Calm 91.5%
Happy 6.8%
Surprised 6.4%
Fear 6%
Sad 2.2%
Angry 0.7%
Disgusted 0.3%
Confused 0.1%

AWS Rekognition

Age 33-41
Gender Male, 99.8%
Calm 52%
Surprised 18.4%
Confused 12%
Angry 10.1%
Happy 7.1%
Fear 6.3%
Disgusted 2.7%
Sad 2.4%

AWS Rekognition

Age 19-27
Gender Female, 95.1%
Calm 76.1%
Sad 8.5%
Surprised 7.3%
Happy 6.1%
Fear 6.1%
Angry 2.8%
Disgusted 1.9%
Confused 0.5%

AWS Rekognition

Age 21-29
Gender Female, 77.6%
Calm 85.1%
Happy 10.5%
Surprised 6.4%
Fear 6%
Sad 3.2%
Confused 0.4%
Disgusted 0.3%
Angry 0.3%

AWS Rekognition

Age 25-35
Gender Male, 76.4%
Calm 58.2%
Happy 40.2%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Angry 0.5%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 23-31
Gender Male, 95.6%
Calm 99.8%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Disgusted 0%
Happy 0%
Confused 0%

AWS Rekognition

Age 19-27
Gender Male, 90.7%
Fear 95.8%
Angry 10.6%
Surprised 6.3%
Sad 2.2%
Disgusted 0.5%
Calm 0.4%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 24-34
Gender Male, 66.5%
Calm 85.1%
Sad 6.8%
Surprised 6.4%
Fear 6.2%
Disgusted 3.3%
Angry 1%
Happy 0.8%
Confused 0.4%

AWS Rekognition

Age 22-30
Gender Female, 64.7%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0.3%
Disgusted 0.1%
Confused 0%
Happy 0%

AWS Rekognition

Age 25-35
Gender Male, 97%
Calm 81.1%
Happy 10%
Surprised 6.6%
Fear 6.2%
Sad 4.5%
Angry 1%
Disgusted 0.9%
Confused 0.2%

AWS Rekognition

Age 20-28
Gender Male, 76.3%
Happy 99.4%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Angry 0.1%
Calm 0.1%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 21-29
Gender Female, 70.7%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0%
Angry 0%
Confused 0%
Disgusted 0%

AWS Rekognition

Age 23-31
Gender Female, 99.8%
Happy 98.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Disgusted 0.2%
Angry 0.2%
Calm 0.2%
Confused 0.1%

AWS Rekognition

Age 49-57
Gender Male, 99.9%
Calm 96.9%
Surprised 6.9%
Fear 5.9%
Sad 2.2%
Happy 0.9%
Disgusted 0.4%
Confused 0.1%
Angry 0.1%

AWS Rekognition

Age 27-37
Gender Male, 82.4%
Calm 95.7%
Surprised 6.4%
Fear 5.9%
Sad 3%
Angry 0.7%
Disgusted 0.4%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 22-30
Gender Male, 93.3%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Confused 0%
Disgusted 0%
Happy 0%

AWS Rekognition

Age 30-40
Gender Male, 98.1%
Calm 98.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.7%
Angry 0.2%
Disgusted 0.2%
Confused 0%

AWS Rekognition

Age 42-50
Gender Male, 99.2%
Calm 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Disgusted 0.1%
Angry 0%
Confused 0%
Happy 0%

AWS Rekognition

Age 23-33
Gender Female, 99.8%
Calm 95.5%
Surprised 6.3%
Fear 5.9%
Sad 3.4%
Happy 0.6%
Confused 0.2%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 19-27
Gender Female, 85.3%
Calm 97.1%
Surprised 6.3%
Fear 5.9%
Sad 2.5%
Angry 1%
Happy 0.2%
Disgusted 0.2%
Confused 0.2%

AWS Rekognition

Age 37-45
Gender Male, 98.4%
Calm 42.5%
Angry 40.4%
Surprised 9.4%
Fear 6.3%
Disgusted 3.9%
Confused 3.7%
Sad 2.8%
Happy 1.1%

AWS Rekognition

Age 22-30
Gender Female, 93.4%
Calm 97.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 1.4%
Disgusted 0.1%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 20-28
Gender Male, 93.4%
Calm 34.9%
Fear 19.5%
Confused 17.1%
Surprised 11.4%
Sad 6.2%
Angry 5.9%
Disgusted 4.9%
Happy 1.6%

AWS Rekognition

Age 27-37
Gender Male, 89.7%
Sad 99.6%
Calm 14.9%
Disgusted 9.1%
Surprised 6.8%
Fear 6.2%
Angry 4.4%
Confused 3.4%
Happy 0.8%

AWS Rekognition

Age 25-35
Gender Male, 93.1%
Calm 88.4%
Fear 6.9%
Surprised 6.5%
Sad 3.3%
Angry 2.8%
Happy 1.5%
Confused 0.8%
Disgusted 0.4%

AWS Rekognition

Age 50-58
Gender Male, 93.2%
Calm 94.3%
Surprised 6.5%
Fear 6%
Sad 2.5%
Happy 2%
Angry 1.1%
Disgusted 0.5%
Confused 0.4%

AWS Rekognition

Age 21-29
Gender Male, 88.3%
Happy 71.4%
Calm 12.8%
Sad 7.1%
Surprised 6.7%
Fear 6.3%
Angry 3%
Disgusted 1.4%
Confused 0.8%

AWS Rekognition

Age 18-26
Gender Male, 84.6%
Calm 99.3%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Confused 0.1%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 22-30
Gender Male, 99.1%
Calm 97.8%
Surprised 6.3%
Fear 6%
Sad 2.2%
Happy 0.6%
Angry 0.4%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 20-28
Gender Female, 90.9%
Calm 98.7%
Surprised 6.5%
Fear 5.9%
Sad 2.2%
Confused 0.2%
Happy 0.1%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 22-30
Gender Female, 88.8%
Sad 52.9%
Calm 39.1%
Angry 11.2%
Happy 9.7%
Surprised 8.1%
Fear 7.6%
Disgusted 3.1%
Confused 2.1%

AWS Rekognition

Age 21-29
Gender Female, 70.5%
Happy 61.6%
Fear 33.2%
Surprised 6.4%
Calm 3.6%
Sad 2.9%
Angry 0.9%
Disgusted 0.4%
Confused 0.2%

AWS Rekognition

Age 20-28
Gender Female, 53.3%
Calm 87.2%
Surprised 12.6%
Fear 6%
Sad 2.3%
Confused 1.1%
Happy 0.7%
Disgusted 0.7%
Angry 0.5%

AWS Rekognition

Age 21-29
Gender Female, 98%
Calm 93.9%
Surprised 6.4%
Fear 6%
Happy 4.1%
Sad 2.3%
Confused 0.3%
Angry 0.3%
Disgusted 0.3%

AWS Rekognition

Age 23-31
Gender Female, 99.8%
Happy 55.9%
Sad 22%
Calm 16.4%
Surprised 7.4%
Fear 6.7%
Confused 2.2%
Disgusted 2%
Angry 1.3%

AWS Rekognition

Age 29-39
Gender Female, 94.1%
Calm 92.4%
Surprised 8.2%
Fear 6%
Sad 2.3%
Happy 1.8%
Disgusted 1.2%
Confused 0.3%
Angry 0.3%

AWS Rekognition

Age 30-40
Gender Female, 82%
Calm 92%
Happy 6.5%
Surprised 6.5%
Fear 5.9%
Sad 2.2%
Disgusted 0.4%
Confused 0.3%
Angry 0.2%

AWS Rekognition

Age 24-34
Gender Female, 64.5%
Calm 98.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.4%
Angry 0.3%
Confused 0.1%
Disgusted 0%

AWS Rekognition

Age 24-34
Gender Female, 96.9%
Happy 70.4%
Calm 19.7%
Fear 8%
Surprised 7.2%
Sad 2.5%
Disgusted 1.3%
Angry 0.8%
Confused 0.2%

AWS Rekognition

Age 18-26
Gender Female, 99.6%
Happy 95.6%
Surprised 6.5%
Fear 6.1%
Sad 2.3%
Calm 1.7%
Disgusted 0.6%
Angry 0.5%
Confused 0.3%

AWS Rekognition

Age 22-30
Gender Male, 88.5%
Calm 89.5%
Surprised 7%
Fear 6.6%
Happy 3.9%
Sad 2.5%
Disgusted 1%
Confused 0.6%
Angry 0.5%

AWS Rekognition

Age 22-30
Gender Female, 92.7%
Calm 74.4%
Happy 18.8%
Surprised 7.4%
Fear 6.2%
Sad 2.7%
Angry 0.9%
Disgusted 0.8%
Confused 0.5%

AWS Rekognition

Age 40-48
Gender Female, 58.9%
Calm 47.4%
Happy 33.2%
Surprised 8.3%
Fear 6.4%
Sad 5.9%
Angry 3.8%
Disgusted 1.7%
Confused 1.3%

AWS Rekognition

Age 20-28
Gender Female, 95.4%
Calm 97.2%
Surprised 6.5%
Fear 5.9%
Sad 2.4%
Happy 0.8%
Angry 0.2%
Disgusted 0.2%
Confused 0.2%

AWS Rekognition

Age 53-61
Gender Male, 100%
Happy 48.3%
Calm 20.2%
Angry 15%
Surprised 7.6%
Fear 7%
Disgusted 6.2%
Sad 3.9%
Confused 0.8%

AWS Rekognition

Age 18-24
Gender Female, 99.9%
Calm 63.4%
Happy 18.6%
Surprised 8.4%
Fear 7%
Sad 5.3%
Angry 2%
Disgusted 1.5%
Confused 1.3%

AWS Rekognition

Age 19-27
Gender Female, 99.4%
Calm 78.5%
Angry 20.3%
Surprised 6.3%
Fear 6%
Sad 2.3%
Happy 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 30-40
Gender Female, 99.8%
Happy 99.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Calm 0.3%
Disgusted 0.1%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 31-41
Gender Female, 98%
Happy 78.9%
Calm 15.7%
Surprised 6.4%
Fear 6.1%
Sad 3%
Confused 0.8%
Angry 0.7%
Disgusted 0.5%

AWS Rekognition

Age 24-34
Gender Male, 94.1%
Calm 74.2%
Happy 10.7%
Disgusted 9.5%
Surprised 6.7%
Fear 6.4%
Sad 2.4%
Angry 1.8%
Confused 0.9%

AWS Rekognition

Age 26-36
Gender Female, 73.3%
Sad 68.8%
Confused 36.6%
Fear 10.2%
Calm 9%
Surprised 8.2%
Disgusted 4.6%
Happy 3%
Angry 2.2%

AWS Rekognition

Age 21-29
Gender Female, 54.3%
Calm 96.8%
Surprised 6.4%
Fear 5.9%
Sad 2.7%
Disgusted 0.6%
Angry 0.2%
Happy 0.2%
Confused 0.2%

AWS Rekognition

Age 39-47
Gender Male, 99.6%
Calm 98.4%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 1%
Confused 0.2%
Angry 0.1%
Disgusted 0.1%

AWS Rekognition

Age 45-53
Gender Male, 95.1%
Calm 67.4%
Angry 12.3%
Surprised 7%
Fear 6.8%
Sad 5.9%
Happy 4.4%
Confused 3.2%
Disgusted 1.7%

AWS Rekognition

Age 23-33
Gender Female, 86.5%
Calm 53.1%
Happy 18.8%
Sad 8.3%
Disgusted 7.3%
Surprised 7.1%
Fear 7.1%
Angry 5.3%
Confused 1.2%

AWS Rekognition

Age 14-22
Gender Male, 99.9%
Angry 97.5%
Surprised 6.4%
Fear 6%
Sad 2.2%
Calm 0.7%
Disgusted 0.6%
Happy 0.3%
Confused 0.3%

AWS Rekognition

Age 22-30
Gender Female, 82.6%
Calm 99.6%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Disgusted 0%
Confused 0%
Angry 0%

AWS Rekognition

Age 30-40
Gender Female, 95.5%
Angry 51.1%
Fear 39.5%
Surprised 7.5%
Happy 5%
Calm 3.3%
Sad 2.3%
Disgusted 2.1%
Confused 0.7%

AWS Rekognition

Age 34-42
Gender Female, 75.4%
Calm 97.1%
Surprised 6.4%
Fear 6%
Sad 2.2%
Disgusted 0.6%
Angry 0.6%
Happy 0.5%
Confused 0.4%

AWS Rekognition

Age 45-53
Gender Male, 94.9%
Happy 80.2%
Calm 11.6%
Surprised 6.7%
Fear 6.2%
Sad 3.3%
Angry 2.5%
Disgusted 0.6%
Confused 0.3%

AWS Rekognition

Age 25-35
Gender Male, 86.1%
Calm 76.9%
Happy 7.3%
Surprised 7.1%
Disgusted 7%
Fear 6.2%
Sad 3.1%
Angry 2.8%
Confused 0.7%

AWS Rekognition

Age 24-34
Gender Female, 63.2%
Calm 99.2%
Surprised 6.3%
Fear 6%
Sad 2.2%
Disgusted 0.1%
Angry 0.1%
Confused 0.1%
Happy 0%

AWS Rekognition

Age 19-27
Gender Female, 100%
Calm 91.4%
Surprised 6.7%
Fear 6.1%
Sad 4.7%
Happy 0.6%
Angry 0.4%
Confused 0.3%
Disgusted 0.3%

AWS Rekognition

Age 27-37
Gender Female, 99%
Happy 74%
Calm 18.3%
Surprised 6.9%
Fear 6.1%
Angry 2.9%
Sad 2.8%
Confused 0.6%
Disgusted 0.5%

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 33
Gender Male

Microsoft Cognitive Services

Age 29
Gender Female

Microsoft Cognitive Services

Age 34
Gender Female

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 31
Gender Female

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 33
Gender Female

Feature analysis

Amazon

Person 95.6%
Baby 94.8%

Categories

Imagga

paintings art 49.6%
streetview architecture 49.1%

Captions

Microsoft
created on 2019-02-27

a fabric surface 44.5%
a close up of a rug 44.4%
a close up of a fabric surface 44.3%

Text analysis

Amazon

Preface
farthar
Explanation
Character
4
&
del
to
3
Caricatura
Difference
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of the
See
For a farthar 3 Explanation of the Difference Betwixt Character 4 & Caricatura See if Preface to Jo.Andre
Cartone
For
CHARACTERS
Raphael Urbin
Betwixt
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if
Raphael Urbin Pins
Cav.Chezzy del
CARICATVRA
CARICATVRA S.
S.
Pins
Annibal Charraci
Annibal Charraci inr
inr
Pina
Leenard da Tinci Pina
Leenard da Tinci
Cav.Chezzy
Geoggia

Google

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