Human Generated Data

Title

Illustrated Traces of the Sage Confucius, adapted from Sima Qian by Zhang Kai, expanded by He Xun, and reproduced by Zhu Jianjun in 1497

Date

c. 1506
People

-
Classification

Prints
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Bequest of the Hofer Collection of the Arts of Asia, 1985.842

Human Generated Data

Title

Illustrated Traces of the Sage Confucius, adapted from Sima Qian by Zhang Kai, expanded by He Xun, and reproduced by Zhu Jianjun in 1497

Date

c. 1506

Classification

Prints

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Bequest of the Hofer Collection of the Arts of Asia, 1985.842

Machine Generated Data

Tags

Amazon
created on 2019-04-07

Person 95.5
Human 95.5
Text 92.7
Person 87.1
Painting 71.8
Art 71.8
Person 65.3
Paper 63.5
Drawing 58
Person 49.9

Clarifai
created on 2018-03-16

illustration 96
paper 95.9
art 95.9
chalk out 94
desktop 92.9
decoration 92.9
symbol 92.8
old 92.2
vintage 91.9
text 91.8
retro 91.4
design 91.4
ancient 90.6
pattern 89.7
manuscript 88.1
antique 87.9
texture 86.6
calligraphy 86.2
ornate 86.1
culture 85.9

Imagga
created on 2018-03-16

journal 68.4
map 64
old 42.6
representation 38.7
paper 36.9
antique 35.4
vintage 31.5
page 26
book 23.9
texture 23.7
grunge 22.2
atlas 21.6
sepia 21.4
ancient 20.8
retro 20.5
text 20.1
aged 19.9
art 16.3
geography 15.4
envelope 14.7
textured 14.1
backdrop 14
pattern 13.7
money 13.6
print 13.2
wallpaper 13
note 12.9
cash 12.8
history 12.6
navigation 12.5
parchment 12.5
world 12.4
design 12.4
capital 12.4
globe 12.1
historic 11.9
brown 11.8
border 11.8
dirty 11.8
currency 11.7
gold 11.5
planet 11.3
travel 11.3
manuscript 10.8
bank 10.8
discovery 10.7
states 10.7
damaged 10.5
detail 10.5
word 10.4
journey 10.4
document 10.2
dollar 10.2
finance 10.2
letter 10.1
road 10
expedition 9.9
material 9.8
navigate 9.8
guide 9.8
route 9.8
business 9.7
continent 9.7
close 9.7
read 9.6
direction 9.5
plan 9.5
communication 9.3
frame 9.2
city 9.2
open 9
geographic 8.9
boundary 8.9
location 8.8
find 8.8
position 8.8
country 8.8
ragged 8.8
burnt 8.8
hundred 8.7
torn 8.7
prayer 8.7
newspaper 8.7
us 8.7
stained 8.7
nation 8.5
path 8.5
religious 8.4
music 8.1
symbol 8.1
banknote 7.8
tour 7.8
dollars 7.7
musical 7.7
state 7.7
faith 7.7
bill 7.6
container 7.6
grungy 7.6
canvas 7.6
historical 7.5
writing 7.5
tourism 7.4
grain 7.4
graphic 7.3
global 7.3
wealth 7.2
religion 7.2
information 7.1

Google
created on 2018-03-16

text 91.8
history 69.6
artwork 67.3
line 65.4
paper 59.4
font 57.7

Microsoft
created on 2018-03-16

text 99.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 49.7%
Disgusted 49.5%
Angry 49.8%
Happy 49.6%
Surprised 49.5%
Calm 49.7%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.6%
Calm 50%
Sad 49.5%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 51.9%
Calm 52.2%
Disgusted 45.1%
Angry 45.3%
Surprised 45.2%
Confused 45.5%
Sad 46.2%
Happy 45.5%

AWS Rekognition

Age 49-69
Gender Male, 50.2%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Sad 50.4%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Disgusted 45.3%
Sad 45.9%
Calm 47%
Surprised 46.3%
Happy 46.7%
Confused 46.4%
Angry 47.5%

AWS Rekognition

Age 38-57
Gender Male, 50.4%
Confused 49.7%
Calm 49.8%
Angry 49.6%
Sad 49.8%
Surprised 49.6%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Sad 49.7%
Calm 49.7%
Surprised 49.9%
Angry 49.6%
Disgusted 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 51.3%
Disgusted 45.4%
Confused 45.4%
Calm 45.4%
Surprised 45.2%
Angry 45.5%
Sad 53%
Happy 45.2%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50%
Disgusted 49.6%
Confused 49.7%
Angry 49.6%
Surprised 49.7%
Calm 49.7%
Happy 49.5%
Sad 49.8%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Surprised 49.6%
Disgusted 49.6%
Calm 49.7%
Confused 49.6%
Angry 49.9%
Happy 49.6%
Sad 49.6%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Calm 49.6%
Surprised 49.5%
Angry 49.8%
Sad 50%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.2%
Happy 49.6%
Calm 50%
Surprised 49.5%
Angry 49.6%
Confused 49.6%
Disgusted 49.5%
Sad 49.7%

AWS Rekognition

Age 45-63
Gender Male, 52.8%
Angry 45.4%
Disgusted 45.1%
Happy 45.1%
Sad 52.3%
Calm 46%
Confused 45.6%
Surprised 45.6%

AWS Rekognition

Age 35-52
Gender Male, 51.3%
Happy 45.1%
Confused 45.4%
Angry 47.4%
Disgusted 45.4%
Sad 51%
Calm 45.6%
Surprised 45.2%

AWS Rekognition

Age 49-69
Gender Male, 54.4%
Happy 45.2%
Disgusted 45.1%
Calm 45.6%
Sad 52%
Confused 45.3%
Angry 46.6%
Surprised 45.2%

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Angry 49.6%
Confused 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 50%
Calm 49.9%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.7%
Surprised 49.6%
Sad 49.6%
Calm 49.9%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Sad 49.7%
Confused 49.6%
Happy 49.6%
Disgusted 49.6%
Angry 49.6%
Surprised 49.7%
Calm 49.8%

Feature analysis

Amazon

Person 95.5%
Painting 71.8%

Text analysis

Amazon

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