Machine Generated Data
Tags
Amazon
created on 2022-01-09
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-09
barbershop | 100 | |
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shop | 100 | |
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mercantile establishment | 100 | |
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place of business | 71 | |
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establishment | 36.4 | |
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building | 34.4 | |
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architecture | 32.1 | |
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door | 29.8 | |
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window | 25.2 | |
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wall | 24.8 | |
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old | 24.4 | |
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city | 22.5 | |
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house | 21.7 | |
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ancient | 17.3 | |
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exterior | 16.6 | |
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structure | 16.1 | |
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history | 16.1 | |
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home | 16 | |
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facade | 14.6 | |
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entrance | 14.5 | |
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urban | 14 | |
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construction | 13.7 | |
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vintage | 13.2 | |
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historic | 12.8 | |
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glass | 12.5 | |
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tourism | 12.4 | |
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buildings | 12.3 | |
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brick | 12.2 | |
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tobacco shop | 12 | |
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wooden | 11.4 | |
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sign | 11.3 | |
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detail | 11.3 | |
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stone | 11 | |
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retro | 10.7 | |
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architectural | 10.6 | |
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windows | 10.6 | |
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travel | 10.6 | |
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antique | 10.4 | |
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wood | 10 | |
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town | 9.3 | |
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street | 9.2 | |
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style | 8.9 | |
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closed | 8.7 | |
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bookshop | 8.6 | |
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monument | 8.4 | |
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texture | 8.3 | |
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frame | 8.3 | |
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tourist | 8.2 | |
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aged | 8.2 | |
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landmark | 8.1 | |
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decoration | 8 | |
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arch | 7.8 | |
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palace | 7.7 | |
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sculpture | 7.7 | |
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historical | 7.5 | |
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iron | 7.5 | |
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famous | 7.4 | |
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church | 7.4 | |
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brown | 7.4 | |
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color | 7.2 | |
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interior | 7.1 | |
|
Google
created on 2022-01-09
Building | 86.5 | |
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Black-and-white | 84.8 | |
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Style | 83.9 | |
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Door | 79.3 | |
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Facade | 74.6 | |
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Monochrome photography | 73.9 | |
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Monochrome | 73.8 | |
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Font | 73.6 | |
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Road | 70.5 | |
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Fixture | 70.2 | |
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Window | 68.1 | |
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City | 67.3 | |
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Street | 67.2 | |
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Home door | 53.7 | |
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Display window | 52.3 | |
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Retail | 52.3 | |
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House | 51.4 | |
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Sitting | 50.8 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18791949/630,227,290,512/full/0/native.jpg)
Door | 92.8% | |
|
Categories
Imagga
streetview architecture | 91.3% | |
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interior objects | 7.7% | |
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Captions
Microsoft
created on 2022-01-09
a person sitting on a bench in front of a store | 69% | |
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a person sitting on a bench in front of a store | 68.9% | |
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a bench in front of a store | 68.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18791949/180,274,236,120/full/0/native.jpg)
Baptist
![](https://ids.lib.harvard.edu/ids/iiif/18791949/548,571,16,16/full/0/native.jpg)
NGT
![](https://ids.lib.harvard.edu/ids/iiif/18791949/540,519,18,16/full/0/native.jpg)
SUDAY
![](https://ids.lib.harvard.edu/ids/iiif/18791949/210,384,242,93/full/0/native.jpg)
Chrish
![](https://ids.lib.harvard.edu/ids/iiif/18791949/540,518,45,19/full/0/native.jpg)
SUDAY SCHOOL-03
![](https://ids.lib.harvard.edu/ids/iiif/18791949/534,571,41,16/full/0/native.jpg)
EDAY NGT 80M
![](https://ids.lib.harvard.edu/ids/iiif/18791949/750,256,39,14/full/0/native.jpg)
304
![](https://ids.lib.harvard.edu/ids/iiif/18791949/132,153,269,112/full/0/native.jpg)
Harmond
![](https://ids.lib.harvard.edu/ids/iiif/18791949/556,519,29,18/full/0/native.jpg)
SCHOOL-03
![](https://ids.lib.harvard.edu/ids/iiif/18791949/563,574,13,12/full/0/native.jpg)
80M
![](https://ids.lib.harvard.edu/ids/iiif/18791949/549,555,30,15/full/0/native.jpg)
MEETING EVERY
![](https://ids.lib.harvard.edu/ids/iiif/18791949/534,572,17,14/full/0/native.jpg)
EDAY
![](https://ids.lib.harvard.edu/ids/iiif/18791949/537,553,43,18/full/0/native.jpg)
PAVIE MEETING EVERY
![](https://ids.lib.harvard.edu/ids/iiif/18791949/537,555,13,15/full/0/native.jpg)
PAVIE
![](https://ids.lib.harvard.edu/ids/iiif/18791949/563,572,21,18/full/0/native.jpg)
MGS
![](https://ids.lib.harvard.edu/ids/iiif/18791949/552,572,14,18/full/0/native.jpg)
LEN
![](https://ids.lib.harvard.edu/ids/iiif/18791949/173,192,410,397/full/0/native.jpg)
Harmonp
Baptist
MGS LEN
![](https://ids.lib.harvard.edu/ids/iiif/18791949/173,192,221,50/full/0/native.jpg)
Harmonp
![](https://ids.lib.harvard.edu/ids/iiif/18791949/183,281,232,99/full/0/native.jpg)
Baptist