Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
facade | 55.7 | |
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building | 54.8 | |
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architecture | 54.2 | |
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balcony | 35.2 | |
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house | 30.8 | |
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structure | 29.4 | |
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city | 27.4 | |
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old | 25.1 | |
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urban | 23.6 | |
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sky | 23 | |
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travel | 22.5 | |
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window | 22.2 | |
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town | 18.6 | |
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exterior | 17.5 | |
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street | 17.5 | |
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tourism | 17.3 | |
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historical | 16.9 | |
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water | 16.7 | |
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river | 16 | |
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history | 15.2 | |
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prison | 13.5 | |
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bridge | 13.1 | |
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home | 12.8 | |
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cityscape | 12.3 | |
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buildings | 12.3 | |
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wheeled vehicle | 12.2 | |
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historic | 11.9 | |
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houses | 11.6 | |
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roof | 11.6 | |
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wall | 11.3 | |
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construction | 11.1 | |
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conveyance | 10.8 | |
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vacation | 10.6 | |
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boathouse | 10.5 | |
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ancient | 10.4 | |
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correctional institution | 10.1 | |
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traditional | 10 | |
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landmark | 9.9 | |
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tower | 9.8 | |
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architectural | 9.6 | |
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windows | 9.6 | |
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place | 9.3 | |
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housing | 9.3 | |
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university | 9.2 | |
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new | 8.9 | |
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boat | 8.8 | |
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mobile home | 8.8 | |
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downtown | 8.6 | |
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palace | 8.6 | |
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vehicle | 8.6 | |
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industry | 8.5 | |
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brick | 8.5 | |
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stone | 8.4 | |
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shed | 8.4 | |
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tourist | 8.2 | |
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canal | 7.9 | |
| ||
scene | 7.8 | |
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district | 7.8 | |
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summer | 7.7 | |
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residential | 7.7 | |
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penal institution | 7.6 | |
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destination | 7.5 | |
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outdoors | 7.5 | |
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famous | 7.4 | |
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tramway | 7.4 | |
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church | 7.4 | |
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reflection | 7.3 | |
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scenery | 7.2 | |
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transportation | 7.2 | |
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car | 7.1 | |
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Google
created on 2022-06-04
Building | 96 | |
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Photograph | 94.2 | |
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Window | 93.9 | |
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White | 92.2 | |
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Black | 89.9 | |
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Infrastructure | 89 | |
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Black-and-white | 87.8 | |
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Architecture | 85.1 | |
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Style | 84.2 | |
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Urban design | 83.2 | |
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Line | 82.5 | |
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Wall | 81.8 | |
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Material property | 80.2 | |
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Facade | 79.6 | |
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Residential area | 79.5 | |
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Monochrome photography | 79.3 | |
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Font | 79.2 | |
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Monochrome | 79 | |
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City | 78.8 | |
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Landmark | 77.9 | |
|
Microsoft
created on 2022-06-04
black and white | 94.4 | |
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monochrome | 70 | |
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white | 69.7 | |
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old | 45.3 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488949/391,795,21,31/full/0/native.jpg)
Person | 69.7% | |
|
Categories
Imagga
streetview architecture | 70.3% | |
| ||
interior objects | 29.1% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a bridge | 73.5% | |
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old photo of a bridge | 68% | |
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an old photo of a large building | 67.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488949/268,104,31,11/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20488949/311,104,39,14/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/20488949/454,108,48,14/full/0/native.jpg)
NEWS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/364,105,77,15/full/0/native.jpg)
ENGLAND
![](https://ids.lib.harvard.edu/ids/iiif/20488949/489,732,32,10/full/0/native.jpg)
14-20
![](https://ids.lib.harvard.edu/ids/iiif/20488949/268,100,336,27/full/0/native.jpg)
THE NEW ENGLAND NEWS COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20488949/426,360,10,6/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/20488949/360,966,31,20/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/20488949/314,356,108,13/full/0/native.jpg)
BOOKSELLERS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/314,355,217,16/full/0/native.jpg)
BOOKSELLERS & STATIONERS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/515,109,88,17/full/0/native.jpg)
COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20488949/62,967,78,19/full/0/native.jpg)
BLOG
![](https://ids.lib.harvard.edu/ids/iiif/20488949/439,357,92,13/full/0/native.jpg)
STATIONERS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/16,354,106,13/full/0/native.jpg)
BLANK.BOOKS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/239,417,14,5/full/0/native.jpg)
TAT
![](https://ids.lib.harvard.edu/ids/iiif/20488949/615,958,112,31/full/0/native.jpg)
NOY.24.00
![](https://ids.lib.harvard.edu/ids/iiif/20488949/428,927,50,13/full/0/native.jpg)
GAURAUCH
![](https://ids.lib.harvard.edu/ids/iiif/20488949/599,113,11,17/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488949/489,733,35,14/full/0/native.jpg)
14-20
![](https://ids.lib.harvard.edu/ids/iiif/20488949/502,751,8,10/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20488949/265,103,504,660/full/0/native.jpg)
THE NEW ENGLAND NEWS COMPANY.
SELLERS STATIONERS.
14-20
EW-ENGE
ESVEE
![](https://ids.lib.harvard.edu/ids/iiif/20488949/269,103,36,19/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/20488949/312,104,42,19/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/20488949/367,106,79,20/full/0/native.jpg)
ENGLAND
![](https://ids.lib.harvard.edu/ids/iiif/20488949/456,108,51,19/full/0/native.jpg)
NEWS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/519,110,87,20/full/0/native.jpg)
COMPANY
![](https://ids.lib.harvard.edu/ids/iiif/20488949/357,360,68,12/full/0/native.jpg)
SELLERS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/441,360,89,13/full/0/native.jpg)
STATIONERS
![](https://ids.lib.harvard.edu/ids/iiif/20488949/489,751,16,11/full/0/native.jpg)
EW
![](https://ids.lib.harvard.edu/ids/iiif/20488949/505,751,28,10/full/0/native.jpg)
ENGE
![](https://ids.lib.harvard.edu/ids/iiif/20488949/719,361,50,15/full/0/native.jpg)
ESVEE