Machine Generated Data
Tags
Amazon
created on 2019-07-08
Clarifai
created on 2019-07-08
no person | 94.5 | |
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illustration | 94.4 | |
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paper | 90.5 | |
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retro | 90.2 | |
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old | 88.9 | |
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vintage | 88.1 | |
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art | 88.1 | |
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antique | 86 | |
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indoors | 85.6 | |
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desktop | 85.2 | |
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82.1 | ||
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traditional | 81.5 | |
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text | 81.5 | |
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child | 79.4 | |
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decoration | 79.3 | |
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horizontal | 77.4 | |
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painting | 76.1 | |
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toy | 74.9 | |
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wear | 74.5 | |
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design | 74.5 | |
|
Imagga
created on 2019-07-08
seal | 61.3 | |
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fastener | 52.5 | |
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restraint | 41.3 | |
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device | 40 | |
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money | 23 | |
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container | 22.7 | |
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bag | 22 | |
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currency | 21.5 | |
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finance | 20.3 | |
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object | 17.6 | |
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cash | 17.4 | |
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purse | 16.3 | |
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dollar | 14.8 | |
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bank | 14.3 | |
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box | 14.1 | |
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business | 13.4 | |
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paper | 13.3 | |
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wealth | 12.6 | |
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financial | 12.5 | |
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gold | 12.3 | |
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banking | 11.9 | |
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investment | 11.9 | |
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banknote | 11.6 | |
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dollars | 11.6 | |
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close | 11.4 | |
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bill | 11.4 | |
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time | 11 | |
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metal | 10.5 | |
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old | 10.4 | |
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equipment | 9.7 | |
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antique | 9.7 | |
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detail | 9.6 | |
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coins | 9.6 | |
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coin | 9.5 | |
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economy | 9.3 | |
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timer | 9.2 | |
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clock | 9.1 | |
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mechanism | 9.1 | |
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bib | 9.1 | |
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closeup | 8.8 | |
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love | 8.7 | |
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change | 8.6 | |
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exchange | 8.6 | |
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still life | 8.5 | |
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savings | 8.4 | |
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vintage | 8.3 | |
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retro | 8.2 | |
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brown | 8.1 | |
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symbol | 8.1 | |
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watch | 7.9 | |
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golden | 7.7 | |
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music box | 7.5 | |
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security | 7.3 | |
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hand | 7.3 | |
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valentine | 7.3 | |
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collection | 7.2 | |
|
Google
created on 2019-07-08
Illustration | 87.4 | |
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Design | 76.8 | |
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Military camouflage | 74.4 | |
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Pattern | 73.9 | |
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Art | 62.5 | |
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Camouflage | 58.3 | |
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Still life | 57.1 | |
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Clip art | 53.7 | |
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Graphics | 50.4 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18731686/184,118,302,121/full/0/native.jpg)
Hat | 70.9% | |
|
Categories
Imagga
paintings art | 99.8% | |
|
Captions
Microsoft
created on 2019-07-08
a stuffed animal on a table | 50.3% | |
| ||
a decorated cake on a table | 36% | |
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a close up of a stuffed animal on a table | 35.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18731686/150,187,0,0/full/0/native.jpg)
d4u
![](https://ids.lib.harvard.edu/ids/iiif/18731686/797,122,0,0/full/0/native.jpg)
AF
![](https://ids.lib.harvard.edu/ids/iiif/18731686/794,160,0,0/full/0/native.jpg)
4r
![](https://ids.lib.harvard.edu/ids/iiif/18731686/473,35,33,33/full/0/native.jpg)
th
![](https://ids.lib.harvard.edu/ids/iiif/18731686/65,242,0,0/full/0/native.jpg)
NX.- n >t
![](https://ids.lib.harvard.edu/ids/iiif/18731686/236,111,0,0/full/0/native.jpg)
RHS
![](https://ids.lib.harvard.edu/ids/iiif/18731686/924,182,1,0/full/0/native.jpg)
IMT
![](https://ids.lib.harvard.edu/ids/iiif/18731686/271,82,0,0/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18731686/68,39,659,174/full/0/native.jpg)
?75
えの保
MA
雙亭吝
![](https://ids.lib.harvard.edu/ids/iiif/18731686/336,39,52,46/full/0/native.jpg)
?75
![](https://ids.lib.harvard.edu/ids/iiif/18731686/402,67,33,35/full/0/native.jpg)
え
![](https://ids.lib.harvard.edu/ids/iiif/18731686/442,92,29,23/full/0/native.jpg)
の
![](https://ids.lib.harvard.edu/ids/iiif/18731686/475,81,35,33/full/0/native.jpg)
保
![](https://ids.lib.harvard.edu/ids/iiif/18731686/564,46,163,120/full/0/native.jpg)
MA
![](https://ids.lib.harvard.edu/ids/iiif/18731686/71,51,42,54/full/0/native.jpg)
雙
![](https://ids.lib.harvard.edu/ids/iiif/18731686/70,101,42,58/full/0/native.jpg)
亭
![](https://ids.lib.harvard.edu/ids/iiif/18731686/68,168,39,45/full/0/native.jpg)
吝