Machine Generated Data
Tags
Amazon
created on 2019-05-30
Building | 92.7 | |
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Office Building | 92 | |
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Urban | 86.2 | |
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Nature | 83.1 | |
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City | 80.4 | |
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Town | 80.4 | |
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Road | 79.4 | |
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Outdoors | 69.4 | |
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Postal Office | 68.6 | |
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High Rise | 65.9 | |
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Street | 64.3 | |
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Animal | 62.7 | |
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Bird | 62.7 | |
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Apartment Building | 57.9 | |
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Downtown | 57.2 | |
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Clarifai
created on 2019-05-30
Imagga
created on 2019-05-30
billboard | 76.3 | |
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structure | 76.3 | |
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signboard | 60.6 | |
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building | 58.4 | |
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architecture | 43.9 | |
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city | 30.8 | |
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sky | 29.4 | |
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urban | 24.5 | |
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buildings | 22.7 | |
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cinema | 19.7 | |
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business | 17 | |
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theater | 16.7 | |
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office | 16.7 | |
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exterior | 15.7 | |
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facade | 15.7 | |
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glass | 15.6 | |
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industry | 15.4 | |
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old | 15.3 | |
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construction | 14.6 | |
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bridge | 14.4 | |
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warehouse | 14.2 | |
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window | 13.8 | |
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house | 13.4 | |
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modern | 13.3 | |
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clouds | 12.7 | |
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tower | 12.5 | |
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windows | 12.5 | |
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wall | 12 | |
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roof | 11.6 | |
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steel | 11.5 | |
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balcony | 11.4 | |
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new | 11.3 | |
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street | 11.1 | |
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industrial | 10.9 | |
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university | 10.6 | |
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landscape | 9.7 | |
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skyscraper | 9.6 | |
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prison | 9.5 | |
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commercial | 9.4 | |
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travel | 9.2 | |
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farm | 8.9 | |
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river | 8.9 | |
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rural | 8.8 | |
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architectural | 8.7 | |
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england | 8.6 | |
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cityscape | 8.5 | |
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town | 8.4 | |
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outdoors | 8.2 | |
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reflection | 8.1 | |
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transportation | 8.1 | |
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water | 8 | |
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trees | 8 | |
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center | 8 | |
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grass | 7.9 | |
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silo | 7.9 | |
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high | 7.8 | |
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barn | 7.7 | |
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factory | 7.7 | |
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tree | 7.7 | |
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correctional institution | 7.7 | |
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landmark | 7.2 | |
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home | 7.2 | |
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financial | 7.1 | |
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country | 7 | |
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scenic | 7 | |
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Google
created on 2019-05-30
Architecture | 86.9 | |
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Building | 79.6 | |
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House | 70.2 | |
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History | 69.9 | |
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Facade | 52.6 | |
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Microsoft
created on 2019-05-30
building | 99.3 | |
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outdoor | 93.7 | |
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sky | 80.3 | |
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black and white | 55.7 | |
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old | 43 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739293/548,108,9,25/full/0/native.jpg)
Bird | 62.7% | |
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Categories
Imagga
streetview architecture | 99.9% | |
|
Captions
Microsoft
created on 2019-05-30
a black sign with white text on a brick building | 75% | |
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a black sign with white text on a building | 74.9% | |
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a bench in front of a building | 67.8% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18739293/320,294,61,20/full/0/native.jpg)
KAPPE
![](https://ids.lib.harvard.edu/ids/iiif/18739293/264,300,53,18/full/0/native.jpg)
GEBR
![](https://ids.lib.harvard.edu/ids/iiif/18739293/383,289,17,18/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18739293/286,333,119,19/full/0/native.jpg)
ALFELD-LEINE.
![](https://ids.lib.harvard.edu/ids/iiif/18739293/273,318,142,15/full/0/native.jpg)
LANDMASCHINENWEAK
![](https://ids.lib.harvard.edu/ids/iiif/18739293/263,298,164,20/full/0/native.jpg)
GEBR KAPPE & CO
![](https://ids.lib.harvard.edu/ids/iiif/18739293/400,288,28,16/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/18739293/268,289,162,67/full/0/native.jpg)
GEBR. KAPPE & CO
ANDMA SCHINENWERK
ALFELD-LEINE
![](https://ids.lib.harvard.edu/ids/iiif/18739293/268,300,52,22/full/0/native.jpg)
GEBR.
![](https://ids.lib.harvard.edu/ids/iiif/18739293/324,293,61,24/full/0/native.jpg)
KAPPE
![](https://ids.lib.harvard.edu/ids/iiif/18739293/388,292,15,20/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/18739293/402,289,28,20/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/18739293/280,321,46,18/full/0/native.jpg)
ANDMA
![](https://ids.lib.harvard.edu/ids/iiif/18739293/324,312,94,23/full/0/native.jpg)
SCHINENWERK
![](https://ids.lib.harvard.edu/ids/iiif/18739293/292,330,114,26/full/0/native.jpg)
ALFELD-LEINE