Human Generated Data

Title

Printed Image (Imbutsu) of Jizō
Date

1392-1568
People
Classification

Prints
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Sylvan Barnet and William Burto, 2014.155

Human Generated Data

Title

Printed Image (Imbutsu) of Jizō

People
Date

1392-1568

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Rug 98.6
Text 88.8
Art 74.4
Drawing 69
Painting 59.9

Clarifai
created on 2018-06-29

pattern 98.5
design 98.2
abstract 97.9
desktop 97.9
texture 97.9
illustration 97
art 97
decoration 96.9
wallpaper 96.7
retro 95.9
vintage 94.9
seamless 94.8
background 94.1
paper 93
old 92.4
print 92.3
style 92
antique 92
element 91.7
wall 91.2

Imagga
created on 2018-06-29

lace 53.9
embroidery 42
pattern 38.3
texture 36.8
wallpaper 36
retro 32
old 30.7
antique 29.4
vintage 28.1
backdrop 26.4
design 24.2
material 23.4
fabric 23.3
bag 21.6
grunge 21.3
paper 21.2
textured 21
art 20.3
floral 19.6
container 19.3
backgrounds 18.7
surface 17.6
border 16.3
frame 15.8
rough 15.5
arabesque 15.4
wall 15.4
graphic 15.3
decoration 15.2
decorative 15
ornament 14.7
map 14
flower 13.8
dirty 13.6
seamless 13.3
paisley 13.3
detail 12.9
ornate 12.8
shape 12.7
aged 12.7
brown 12.5
leaf 12.5
decor 12.4
textile 12.3
sepia 11.7
atlas 11.1
damask 11
element 10.8
geography 10.6
color 10.6
style 10.4
elegant 10.3
line 10.3
card 10
paint 10
curve 9.6
structure 9.6
scroll 9.5
stone 9.3
swirl 9.2
close 9.1
road 9
guide 8.8
navigation 8.7
ancient 8.7
blank 8.6
grungy 8.5
canvas 8.5
plan 8.5
planet 8.5
journey 8.5
travel 8.5
page 8.4
globe 8.3
stucco 8.3
fashion 8.3
gold 8.2
world 8
holiday 7.9
drawing 7.9
navigate 7.8
black 7.8
discovery 7.8
continent 7.8
direction 7.6
old fashioned 7.6
ornamental 7.6
capital 7.6
silhouette 7.5
closeup 7.4
note 7.4
template 7.3
effect 7.3

Google
created on 2018-06-29

text 85.1
painting 62.4
art 61
history 57.3
artwork 57.3
font 56
modern art 55.4

Microsoft
created on 2018-06-29

furniture 83.1
curtain 48.8
building material 27.5
stone 12.3
fabric 10.2

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Confused 49.5%
Sad 50.4%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Angry 49.7%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Sad 50.2%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Calm 49.9%
Happy 49.5%
Angry 49.6%
Confused 49.7%
Sad 49.5%
Disgusted 49.5%
Surprised 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Surprised 49.5%
Disgusted 49.5%
Angry 50.1%
Sad 49.6%
Confused 49.5%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.2%
Sad 50%
Calm 49.5%
Angry 49.8%
Confused 49.5%
Happy 49.5%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50.3%
Angry 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Surprised 49.5%
Calm 49.6%
Sad 50%
Angry 49.7%
Happy 49.5%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Sad 50%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%
Surprised 49.8%
Happy 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.6%
Calm 49.8%
Sad 50%
Angry 49.5%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.3%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Sad 50.3%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%
Sad 50.2%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.6%
Sad 49.7%
Calm 49.5%
Confused 49.6%
Surprised 49.6%
Happy 49.9%
Disgusted 49.7%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50%
Angry 49.5%
Disgusted 49.5%
Sad 50.4%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Male, 50.5%
Happy 49.5%
Disgusted 49.5%
Sad 49.9%
Calm 49.9%
Angry 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50%
Sad 49.9%
Surprised 49.6%
Happy 49.5%
Angry 49.6%
Calm 49.8%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 51.6%
Angry 46.3%
Happy 45.3%
Disgusted 45.3%
Surprised 46.9%
Confused 46.3%
Calm 45.9%
Sad 49%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.5%
Angry 49.6%
Sad 50%
Calm 49.8%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 52.5%
Disgusted 45.1%
Angry 45.2%
Surprised 45.1%
Sad 54.3%
Confused 45.1%
Calm 45.1%
Happy 45%

AWS Rekognition

Age 49-69
Gender Male, 50.3%
Disgusted 49.5%
Confused 49.6%
Calm 49.6%
Sad 50%
Surprised 49.6%
Angry 49.7%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Disgusted 45.3%
Calm 45.2%
Angry 47.8%
Happy 45.1%
Confused 45.4%
Sad 50.9%
Surprised 45.4%

Microsoft Cognitive Services

Age 81
Gender Male

Microsoft Cognitive Services

Age 36
Gender Male

Microsoft Cognitive Services

Age 71
Gender Male

Microsoft Cognitive Services

Age 58
Gender Male

Microsoft Cognitive Services

Age 76
Gender Male

Microsoft Cognitive Services

Age 46
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 55
Gender Male

Feature analysis

Amazon

Rug 98.6%

Captions

Microsoft

a close up of a curtain 52%
a close up of a stone wall 51.9%
a close up of a brick wall 50.1%

Text analysis

Amazon

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