Machine Generated Data
Tags
Amazon
created on 2023-10-06
Architecture | 99.9 | |
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Building | 99.9 | |
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Car | 95.7 | |
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Transportation | 95.7 | |
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Vehicle | 95.7 | |
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Cafeteria | 91.2 | |
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Indoors | 91.2 | |
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Restaurant | 91.2 | |
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Shop | 88.5 | |
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Book | 82.7 | |
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Publication | 82.7 | |
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City | 78.1 | |
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Awning | 71.5 | |
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Canopy | 71.5 | |
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Outdoors | 71 | |
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Shelter | 71 | |
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Urban | 66.5 | |
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Postal Office | 57 | |
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Home Decor | 56.9 | |
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Brick | 56.6 | |
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Library | 56.5 | |
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Deli | 56.3 | |
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Shelf | 56.2 | |
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Cafe | 55.3 | |
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Butcher Shop | 55.2 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
balcony | 66.8 | |
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building | 62.9 | |
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architecture | 58.7 | |
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structure | 46.3 | |
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city | 37.4 | |
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urban | 31.5 | |
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window | 25 | |
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office | 24 | |
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tramway | 23.6 | |
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house | 23.4 | |
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facade | 22.8 | |
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conveyance | 21 | |
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wall | 19.7 | |
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windows | 19.2 | |
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exterior | 18.4 | |
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modern | 18.2 | |
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old | 18.1 | |
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glass | 17.9 | |
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sky | 17.9 | |
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home | 17.6 | |
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construction | 17.1 | |
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buildings | 17 | |
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travel | 16.2 | |
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business | 15.8 | |
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center | 15.3 | |
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industry | 14.5 | |
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town | 13.9 | |
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residential | 13.4 | |
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roof | 13.4 | |
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brick | 13.2 | |
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new | 13 | |
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cinema | 12.6 | |
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tower | 12.5 | |
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perspective | 12.3 | |
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downtown | 11.5 | |
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street | 11 | |
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transportation | 10.8 | |
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theater | 10.1 | |
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interior | 9.7 | |
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district | 9.7 | |
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built | 9.7 | |
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warehouse | 9.2 | |
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bridge | 9 | |
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apartment | 8.6 | |
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luxury | 8.6 | |
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design | 8.4 | |
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destination | 8.4 | |
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industrial | 8.2 | |
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history | 8.1 | |
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financial | 8 | |
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high | 7.8 | |
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ancient | 7.8 | |
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factory | 7.7 | |
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skyscraper | 7.7 | |
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stone | 7.6 | |
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wood | 7.5 | |
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place | 7.5 | |
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tourism | 7.4 | |
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vacation | 7.4 | |
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historic | 7.3 | |
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housing | 7.3 | |
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transport | 7.3 | |
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summer | 7.1 | |
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steel | 7.1 | |
|
Google
created on 2018-05-10
property | 87.9 | |
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architecture | 80.6 | |
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structure | 77.4 | |
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black and white | 76.9 | |
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house | 76 | |
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facade | 74.8 | |
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building | 70.3 | |
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commercial building | 66.8 | |
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history | 64.2 | |
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elevation | 58.8 | |
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boarding house | 56.7 | |
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window | 51.3 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 55.2% | |
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streetview architecture | 36.2% | |
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beaches seaside | 6.6% | |
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Captions
Microsoft
created on 2018-05-10
a black and white photo of a building | 96.1% | |
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a black sign with white text on a brick building | 93.5% | |
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a black and white photo of an old building | 93.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43155827/451,236,37,18/full/0/native.jpg)
PAUL
![](https://ids.lib.harvard.edu/ids/iiif/43155827/424,264,42,18/full/0/native.jpg)
RIMA
![](https://ids.lib.harvard.edu/ids/iiif/43155827/384,238,34,18/full/0/native.jpg)
FARE
![](https://ids.lib.harvard.edu/ids/iiif/43155827/420,239,27,15/full/0/native.jpg)
TOA
![](https://ids.lib.harvard.edu/ids/iiif/43155827/384,231,200,26/full/0/native.jpg)
FARE TOA PAUL CONSCIENCE
![](https://ids.lib.harvard.edu/ids/iiif/43155827/384,265,36,18/full/0/native.jpg)
UATI
![](https://ids.lib.harvard.edu/ids/iiif/43155827/490,231,94,22/full/0/native.jpg)
CONSCIENCE
![](https://ids.lib.harvard.edu/ids/iiif/43155827/531,258,56,20/full/0/native.jpg)
TARIA
![](https://ids.lib.harvard.edu/ids/iiif/43155827/589,280,93,21/full/0/native.jpg)
LUNETTERIE.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/384,258,203,26/full/0/native.jpg)
UATI RIMA TAPEA TARIA
![](https://ids.lib.harvard.edu/ids/iiif/43155827/480,279,203,26/full/0/native.jpg)
BIMBELOTERIE. LUNETTERIE.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/472,260,55,19/full/0/native.jpg)
TAPEA
![](https://ids.lib.harvard.edu/ids/iiif/43155827/480,282,108,23/full/0/native.jpg)
BIMBELOTERIE.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/568,306,112,23/full/0/native.jpg)
JEWELLERY.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/482,311,83,21/full/0/native.jpg)
WATCHES.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/482,301,198,32/full/0/native.jpg)
WATCHES. JEWELLERY. -
![](https://ids.lib.harvard.edu/ids/iiif/43155827/631,303,4,3/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/43155827/493,304,26,9/full/0/native.jpg)
9.9
![](https://ids.lib.harvard.edu/ids/iiif/43155827/386,233,302,76/full/0/native.jpg)
FARE TOA PAUL CONSCIENCE
BIMBELOTERIE. LUNETTERIE.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/386,241,36,20/full/0/native.jpg)
FARE
![](https://ids.lib.harvard.edu/ids/iiif/43155827/421,239,31,20/full/0/native.jpg)
TOA
![](https://ids.lib.harvard.edu/ids/iiif/43155827/452,238,40,20/full/0/native.jpg)
PAUL
![](https://ids.lib.harvard.edu/ids/iiif/43155827/492,233,96,23/full/0/native.jpg)
CONSCIENCE
![](https://ids.lib.harvard.edu/ids/iiif/43155827/483,284,110,25/full/0/native.jpg)
BIMBELOTERIE.
![](https://ids.lib.harvard.edu/ids/iiif/43155827/592,280,96,24/full/0/native.jpg)
LUNETTERIE.