Machine Generated Data
Tags
Amazon
created on 2019-07-05
Clarifai
created on 2019-07-05
Imagga
created on 2019-07-05
comic book | 52.6 | |
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art | 26.4 | |
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print media | 21 | |
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vintage | 18.2 | |
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traditional | 16.6 | |
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culture | 15.4 | |
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colorful | 15 | |
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old | 14.6 | |
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religion | 14.3 | |
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performer | 14.3 | |
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decoration | 13.7 | |
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dancer | 13.1 | |
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ancient | 13 | |
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face | 12.8 | |
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fun | 12.7 | |
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person | 12.5 | |
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book jacket | 12.5 | |
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gold | 12.3 | |
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antique | 12.1 | |
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man | 12.1 | |
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design | 12 | |
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mosaic | 11.2 | |
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party | 11.2 | |
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church | 11.1 | |
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entertainment | 11 | |
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black | 10.8 | |
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retro | 10.6 | |
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celebration | 10.4 | |
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entertainer | 10.3 | |
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clothing | 10.3 | |
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pattern | 10.2 | |
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jacket | 9.9 | |
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covering | 9.9 | |
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travel | 9.9 | |
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fashion | 9.8 | |
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carnival | 9.7 | |
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costume | 9.5 | |
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people | 9.5 | |
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religious | 9.4 | |
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holiday | 9.3 | |
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postmark | 8.9 | |
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postage | 8.8 | |
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postal | 8.8 | |
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temple | 8.7 | |
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icon | 8.7 | |
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stamp | 8.7 | |
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8.6 | ||
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festival | 8.6 | |
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golden | 8.6 | |
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statue | 8.5 | |
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tradition | 8.3 | |
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historic | 8.2 | |
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paint | 8.1 | |
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collection | 8.1 | |
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detail | 8 | |
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guitar | 8 | |
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cotton | 7.7 | |
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holy | 7.7 | |
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faith | 7.6 | |
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fabric | 7.5 | |
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east | 7.5 | |
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tourism | 7.4 | |
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wrapping | 7.4 | |
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makeup | 7.3 | |
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color | 7.2 | |
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painting | 7.2 | |
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history | 7.1 | |
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bright | 7.1 | |
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colors | 7 | |
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sculpture | 7 | |
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architecture | 7 | |
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Google
created on 2019-07-05
Art | 74 | |
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Costume design | 72.1 | |
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Flute | 69.1 | |
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Musical instrument | 69.1 | |
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Costume | 68.9 | |
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Illustration | 66.9 | |
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Geisha | 64.1 | |
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Traditional chinese musical instruments | 61.4 | |
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Woodwind instrument | 58.7 | |
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Wind instrument | 55 | |
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Folk instrument | 53.4 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18211191/282,118,66,109/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Male, 87.1% |
Sad | 34% |
Angry | 12.7% |
Surprised | 13.9% |
Confused | 13.8% |
Disgusted | 7% |
Calm | 9.6% |
Happy | 9.1% |
Feature analysis
Categories
Imagga
interior objects | 65.2% | |
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cars vehicles | 29.1% | |
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beaches seaside | 1.6% | |
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paintings art | 1.4% | |
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food drinks | 1.2% | |
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Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18211191/159,504,1,1/full/0/native.jpg)
H
![](https://ids.lib.harvard.edu/ids/iiif/18211191/50,935,31,19/full/0/native.jpg)
Mile
![](https://ids.lib.harvard.edu/ids/iiif/18211191/560,255,37,32/full/0/native.jpg)
mp
![](https://ids.lib.harvard.edu/ids/iiif/18211191/68,936,30,23/full/0/native.jpg)
GImlin
![](https://ids.lib.harvard.edu/ids/iiif/18211191/60,766,9,1/full/0/native.jpg)
Mile de:(8) .3 DEd? GImlin
![](https://ids.lib.harvard.edu/ids/iiif/18211191/211,1005,66,12/full/0/native.jpg)
EHE
![](https://ids.lib.harvard.edu/ids/iiif/18211191/60,767,77,50/full/0/native.jpg)
de:(8) .3
![](https://ids.lib.harvard.edu/ids/iiif/18211191/65,904,21,31/full/0/native.jpg)
DEd?
![](https://ids.lib.harvard.edu/ids/iiif/18211191/556,81,51,219/full/0/native.jpg)
和公のあ市
![](https://ids.lib.harvard.edu/ids/iiif/18211191/556,81,51,106/full/0/native.jpg)
和公
![](https://ids.lib.harvard.edu/ids/iiif/18211191/556,196,37,25/full/0/native.jpg)
の
![](https://ids.lib.harvard.edu/ids/iiif/18211191/556,224,49,30/full/0/native.jpg)
あ
![](https://ids.lib.harvard.edu/ids/iiif/18211191/556,251,51,49/full/0/native.jpg)
市