Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
electronic equipment | 53.4 | |
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equipment | 45.2 | |
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equalizer | 27.4 | |
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business | 27.3 | |
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radio | 25.1 | |
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technology | 23.7 | |
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billboard | 18.7 | |
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office | 18.5 | |
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structure | 18.2 | |
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digital | 17.8 | |
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device | 17.8 | |
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radio receiver | 17.8 | |
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receiver | 16.1 | |
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computer | 15.5 | |
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architecture | 14.1 | |
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amplifier | 14 | |
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signboard | 13.9 | |
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data | 13.7 | |
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folder | 13.6 | |
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building | 13.5 | |
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showing | 12.2 | |
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information | 11.5 | |
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black | 11.4 | |
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travel | 11.3 | |
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modern | 11.2 | |
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finance | 11 | |
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file | 11 | |
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register | 10.9 | |
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city | 10.8 | |
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transportation | 10.8 | |
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bank | 10.7 | |
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station | 10.7 | |
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financial | 10.7 | |
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urban | 10.5 | |
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word | 10.4 | |
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communication system | 10.3 | |
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paper | 10.2 | |
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light | 10 | |
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steel | 9.7 | |
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object | 9.5 | |
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media | 9.5 | |
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effects | 9.5 | |
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construction | 9.4 | |
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card | 9.3 | |
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network | 9.3 | |
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banking | 9.2 | |
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investment | 9.2 | |
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set | 9.1 | |
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close | 9.1 | |
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music | 9 | |
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invest | 8.7 | |
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work | 8.6 | |
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car | 8.6 | |
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router | 8.6 | |
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storage | 8.6 | |
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electronics | 8.5 | |
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3d | 8.5 | |
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server | 8.5 | |
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three dimensional | 8.4 | |
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house | 8.4 | |
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dark | 8.3 | |
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transport | 8.2 | |
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graphics | 8.2 | |
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broadcasting | 7.9 | |
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growth | 7.9 | |
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tab | 7.9 | |
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panel | 7.7 | |
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industry | 7.7 | |
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audio | 7.6 | |
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communication | 7.6 | |
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stock | 7.5 | |
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economy | 7.4 | |
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closeup | 7.4 | |
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water | 7.3 | |
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success | 7.2 | |
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memory | 7.2 | |
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button | 7 | |
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instrument | 7 | |
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sky | 7 | |
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Google
created on 2022-06-04
Black | 89.7 | |
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Rectangle | 87.7 | |
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Rolling stock | 85.6 | |
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Building | 83.9 | |
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Vehicle | 83.1 | |
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Grille | 80.8 | |
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Motor vehicle | 80.4 | |
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Brick | 79.8 | |
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Font | 79.5 | |
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Rolling | 79.3 | |
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Tints and shades | 76.7 | |
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Facade | 76.3 | |
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Railway | 76.1 | |
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Brickwork | 75.2 | |
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Monochrome | 73.7 | |
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Public transport | 73.3 | |
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Automotive exterior | 72.6 | |
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Monochrome photography | 72 | |
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Metal | 68.1 | |
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Art | 66.1 | |
|
Microsoft
created on 2022-06-04
black and white | 97.2 | |
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text | 92.7 | |
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monochrome | 83.1 | |
|
Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 83.9% | |
| ||
text visuals | 12% | |
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cars vehicles | 1.3% | |
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beaches seaside | 1.1% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489078/377,132,57,34/full/0/native.jpg)
LAKE
![](https://ids.lib.harvard.edu/ids/iiif/20489078/396,567,143,37/full/0/native.jpg)
RAILWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489078/450,516,166,81/full/0/native.jpg)
ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20489078/323,514,294,83/full/0/native.jpg)
BOSTON ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20489078/324,519,128,63/full/0/native.jpg)
BOSTON
![](https://ids.lib.harvard.edu/ids/iiif/20489078/517,712,45,11/full/0/native.jpg)
SEPT
![](https://ids.lib.harvard.edu/ids/iiif/20489078/837,711,55,15/full/0/native.jpg)
24884
![](https://ids.lib.harvard.edu/ids/iiif/20489078/517,712,102,14/full/0/native.jpg)
SEPT 17,1940
![](https://ids.lib.harvard.edu/ids/iiif/20489078/568,712,52,14/full/0/native.jpg)
17,1940
![](https://ids.lib.harvard.edu/ids/iiif/20489078/439,130,29,31/full/0/native.jpg)
ST.
![](https://ids.lib.harvard.edu/ids/iiif/20489078/376,114,286,55/full/0/native.jpg)
LAKE ST. CONMONWEALTH
![](https://ids.lib.harvard.edu/ids/iiif/20489078/469,114,192,52/full/0/native.jpg)
CONMONWEALTH
![](https://ids.lib.harvard.edu/ids/iiif/20489078/326,118,568,613/full/0/native.jpg)
LAKE ST COMMONW
BOSTON ELEVATED
RAILWAY
SEPT 17, 1940
NWEALTH
24884
![](https://ids.lib.harvard.edu/ids/iiif/20489078/377,131,62,39/full/0/native.jpg)
LAKE
![](https://ids.lib.harvard.edu/ids/iiif/20489078/439,129,34,37/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20489078/477,122,109,42/full/0/native.jpg)
COMMONW
![](https://ids.lib.harvard.edu/ids/iiif/20489078/327,527,126,56/full/0/native.jpg)
BOSTON
![](https://ids.lib.harvard.edu/ids/iiif/20489078/451,523,164,73/full/0/native.jpg)
ELEVATED
![](https://ids.lib.harvard.edu/ids/iiif/20489078/398,569,145,37/full/0/native.jpg)
RAILWAY
![](https://ids.lib.harvard.edu/ids/iiif/20489078/520,714,47,15/full/0/native.jpg)
SEPT
![](https://ids.lib.harvard.edu/ids/iiif/20489078/571,714,16,14/full/0/native.jpg)
17
![](https://ids.lib.harvard.edu/ids/iiif/20489078/581,714,9,14/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20489078/589,714,35,15/full/0/native.jpg)
1940
![](https://ids.lib.harvard.edu/ids/iiif/20489078/552,118,110,39/full/0/native.jpg)
NWEALTH
![](https://ids.lib.harvard.edu/ids/iiif/20489078/838,713,56,17/full/0/native.jpg)
24884