Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
shopping cart | 100 | |
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handcart | 100 | |
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wheeled vehicle | 100 | |
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container | 78.2 | |
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conveyance | 38.5 | |
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shopping | 23.9 | |
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business | 21.3 | |
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technology | 20 | |
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market | 19.5 | |
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buy | 17.8 | |
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shop | 17.8 | |
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sale | 16.6 | |
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cart | 16.6 | |
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supermarket | 15.6 | |
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store | 15.1 | |
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basket | 14.7 | |
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construction | 14.5 | |
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metal | 14.5 | |
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building | 14.3 | |
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architecture | 14.1 | |
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trolley | 13.8 | |
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money | 13.6 | |
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purchase | 13.5 | |
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modern | 12.6 | |
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3d | 12.4 | |
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steel | 12.4 | |
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finance | 11.8 | |
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equipment | 11.5 | |
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computer | 10.4 | |
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object | 10.3 | |
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work | 10.2 | |
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window | 10.1 | |
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buying | 9.6 | |
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home | 9.6 | |
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development | 9.5 | |
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commerce | 9.3 | |
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house | 9.2 | |
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reflection | 8.9 | |
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urban | 8.7 | |
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light | 8.7 | |
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render | 8.6 | |
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trade | 8.6 | |
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empty | 8.6 | |
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customer | 8.6 | |
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electronic | 8.4 | |
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network | 8.3 | |
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sky | 8.3 | |
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data | 8.2 | |
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man | 8.1 | |
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science | 8 | |
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silver | 8 | |
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structure | 7.9 | |
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design | 7.9 | |
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retail | 7.6 | |
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laptop | 7.3 | |
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people | 7.2 | |
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black | 7.2 | |
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information | 7.1 | |
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working | 7.1 | |
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conceptual | 7.1 | |
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Google
created on 2022-06-04
Naval architecture | 89.7 | |
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Style | 83.8 | |
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Black-and-white | 82.5 | |
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Rectangle | 75.2 | |
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Monochrome photography | 73.7 | |
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Engineering | 73 | |
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Monochrome | 72.6 | |
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Vehicle | 70.9 | |
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City | 68.5 | |
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Watercraft | 63.5 | |
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Metal | 61.9 | |
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Font | 61.1 | |
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Machine | 57.1 | |
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Steel | 55.1 | |
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Still life photography | 54.9 | |
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Microsoft
created on 2022-06-04
ship | 99.3 | |
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boat | 90.3 | |
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black and white | 89.6 | |
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text | 88.8 | |
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watercraft | 88.6 | |
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transport | 87 | |
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white | 64.8 | |
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several | 17.1 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488874/121,364,330,219/full/0/native.jpg)
Boat | 63.6% | |
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Categories
Imagga
paintings art | 98.8% | |
|
Captions
Microsoft
created on 2022-06-04
a large ship in the background | 78.6% | |
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a large ship in the distance | 78.5% | |
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a large ship docked | 54.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488874/314,994,24,12/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20488874/216,977,91,34/full/0/native.jpg)
c.Progress
![](https://ids.lib.harvard.edu/ids/iiif/20488874/326,972,99,46/full/0/native.jpg)
Foundation
![](https://ids.lib.harvard.edu/ids/iiif/20488874/712,986,48,21/full/0/native.jpg)
7314
![](https://ids.lib.harvard.edu/ids/iiif/20488874/36,972,390,46/full/0/native.jpg)
Charles Riuer B ridge c.Progress on Foundation
![](https://ids.lib.harvard.edu/ids/iiif/20488874/161,983,15,21/full/0/native.jpg)
B
![](https://ids.lib.harvard.edu/ids/iiif/20488874/177,980,44,32/full/0/native.jpg)
ridge
![](https://ids.lib.harvard.edu/ids/iiif/20488874/36,986,72,21/full/0/native.jpg)
Charles
![](https://ids.lib.harvard.edu/ids/iiif/20488874/101,981,60,27/full/0/native.jpg)
Riuer
![](https://ids.lib.harvard.edu/ids/iiif/20488874/499,984,103,25/full/0/native.jpg)
Met.L7.09
![](https://ids.lib.harvard.edu/ids/iiif/20488874/37,983,727,30/full/0/native.jpg)
Charles River Bridge Progress on foundation
Me7.27.09
7314
![](https://ids.lib.harvard.edu/ids/iiif/20488874/37,984,75,26/full/0/native.jpg)
Charles
![](https://ids.lib.harvard.edu/ids/iiif/20488874/106,984,59,26/full/0/native.jpg)
River
![](https://ids.lib.harvard.edu/ids/iiif/20488874/163,984,71,27/full/0/native.jpg)
Bridge
![](https://ids.lib.harvard.edu/ids/iiif/20488874/232,985,81,27/full/0/native.jpg)
Progress
![](https://ids.lib.harvard.edu/ids/iiif/20488874/314,985,27,26/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20488874/337,985,92,28/full/0/native.jpg)
foundation
![](https://ids.lib.harvard.edu/ids/iiif/20488874/509,989,93,20/full/0/native.jpg)
Me7.27.09
![](https://ids.lib.harvard.edu/ids/iiif/20488874/713,988,51,20/full/0/native.jpg)
7314