Machine Generated Data
Tags
Amazon
created on 2020-04-27
Clarifai
created on 2020-04-27
Imagga
created on 2020-04-27
bookmark | 100 | |
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fabric | 23.9 | |
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clothing | 22.7 | |
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fashion | 20.3 | |
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cotton | 17.7 | |
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jeans | 16.2 | |
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garment | 15.4 | |
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textile | 14.2 | |
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decoration | 13.7 | |
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cloth | 13.4 | |
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material | 13.4 | |
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stole | 13.2 | |
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design | 12.4 | |
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scarf | 12.4 | |
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color | 12.2 | |
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close | 12 | |
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cash | 11.9 | |
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denim | 11.2 | |
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style | 11.1 | |
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texture | 11.1 | |
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money | 11 | |
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paper | 11 | |
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pattern | 10.9 | |
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colorful | 10.7 | |
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currency | 9.9 | |
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celebration | 9.6 | |
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closeup | 9.4 | |
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clothes | 9.4 | |
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finance | 9.3 | |
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pink | 9.2 | |
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financial | 8.9 | |
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detail | 8.8 | |
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pants | 8.8 | |
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shiny | 8.7 | |
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holiday | 8.6 | |
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towel | 8.2 | |
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symbol | 8.1 | |
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seam | 7.9 | |
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banknote | 7.8 | |
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pay | 7.7 | |
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winter | 7.7 | |
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gold | 7.4 | |
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stack | 7.4 | |
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jean | 7.3 | |
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banking | 7.3 | |
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shopping | 7.3 | |
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art | 7.3 | |
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soft | 7.2 | |
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body | 7.2 | |
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wealth | 7.2 | |
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bank | 7.2 | |
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face | 7.1 | |
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colors | 7 | |
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season | 7 | |
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textured | 7 | |
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stitch | 7 | |
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Google
created on 2020-04-27
Drawing | 86.9 | |
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Text | 85.2 | |
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Sketch | 81 | |
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Fashion illustration | 78.8 | |
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Illustration | 76.4 | |
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Art | 73.1 | |
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Artwork | 53.4 | |
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Figure drawing | 52.7 | |
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Costume design | 52.4 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20226824/202,239,208,215/full/0/native.jpg)
AWS Rekognition
Age | 17-29 |
Gender | Female, 59% |
Sad | 10.9% |
Surprised | 0.7% |
Fear | 0.5% |
Happy | 1.9% |
Angry | 3.2% |
Calm | 81.7% |
Disgusted | 0.4% |
Confused | 0.8% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20226824/97,191,380,786/full/0/native.jpg)
Person | 84.1% | |
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Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2020-04-27
a close up of text on a white surface | 32.1% | |
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a close up of text on a white background | 32% | |
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a close up of text on a black surface | 31.9% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20226824/335,963,68,38/full/0/native.jpg)
Mon
![](https://ids.lib.harvard.edu/ids/iiif/20226824/416,954,57,63/full/0/native.jpg)
Jy
![](https://ids.lib.harvard.edu/ids/iiif/20226824/330,953,278,64/full/0/native.jpg)
Mon Jy 0Y
![](https://ids.lib.harvard.edu/ids/iiif/20226824/563,965,43,43/full/0/native.jpg)
0Y
![](https://ids.lib.harvard.edu/ids/iiif/20226824/338,963,274,60/full/0/native.jpg)
Morn y. 2 09
![](https://ids.lib.harvard.edu/ids/iiif/20226824/338,971,66,38/full/0/native.jpg)
Morn
![](https://ids.lib.harvard.edu/ids/iiif/20226824/424,963,58,60/full/0/native.jpg)
y.
![](https://ids.lib.harvard.edu/ids/iiif/20226824/497,974,48,34/full/0/native.jpg)
2
![](https://ids.lib.harvard.edu/ids/iiif/20226824/569,971,43,41/full/0/native.jpg)
09