Machine Generated Data
Tags
Amazon
created on 2019-07-29
Clarifai
created on 2019-07-29
Imagga
created on 2019-07-29
building | 49.4 | |
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palace | 46.7 | |
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architecture | 45.6 | |
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structure | 34 | |
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travel | 30.3 | |
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snow | 29.5 | |
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house | 29.4 | |
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city | 29.1 | |
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residence | 28.8 | |
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ancient | 26.8 | |
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tourism | 26.4 | |
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river | 24.9 | |
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sky | 24.2 | |
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water | 24.1 | |
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old | 23.7 | |
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landmark | 22.6 | |
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bridge | 22 | |
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cemetery | 21.9 | |
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stone | 21.6 | |
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history | 18.8 | |
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cathedral | 18.1 | |
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historic | 17.4 | |
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university | 17.2 | |
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tower | 17 | |
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tree | 16.3 | |
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weather | 15.7 | |
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landscape | 15.6 | |
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tourist | 15.5 | |
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temple | 15.4 | |
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dwelling | 15.4 | |
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famous | 14.9 | |
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urban | 14 | |
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castle | 13.6 | |
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cityscape | 13.3 | |
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buildings | 13.3 | |
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historical | 13.2 | |
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town | 13 | |
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church | 13 | |
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park | 12.3 | |
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monument | 12.2 | |
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statue | 11.3 | |
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hill | 11.3 | |
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culture | 11.1 | |
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religion | 10.8 | |
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dome | 10.7 | |
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trees | 10.7 | |
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england | 10.5 | |
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capital | 10.5 | |
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street | 10.1 | |
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fountain | 10 | |
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wall | 10 | |
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ruin | 9.7 | |
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center | 9.6 | |
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construction | 9.4 | |
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clouds | 9.3 | |
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housing | 8.9 | |
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holiday | 8.6 | |
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destination | 8.4 | |
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boat | 8.4 | |
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mosque | 8.3 | |
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outdoors | 8.2 | |
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vacation | 8.2 | |
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reflection | 8.1 | |
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scenic | 7.9 | |
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art | 7.9 | |
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day | 7.9 | |
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rock | 7.8 | |
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brick | 7.8 | |
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antique | 7.8 | |
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ruins | 7.8 | |
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attraction | 7.7 | |
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panorama | 7.6 | |
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religious | 7.5 | |
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steel arch bridge | 7.4 | |
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coast | 7.2 | |
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mountain | 7.1 | |
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summer | 7.1 | |
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country | 7 | |
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Google
created on 2019-07-29
Motor vehicle | 90.1 | |
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Vehicle | 85.9 | |
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Car | 73.1 | |
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Illustration | 60.2 | |
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Art | 58.1 | |
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Vintage car | 54.5 | |
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Color Analysis
Feature analysis
Categories
Imagga
nature landscape | 91.4% | |
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paintings art | 3.2% | |
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beaches seaside | 3% | |
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sunrises sunsets | 2.1% | |
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Captions
Microsoft
created on 2019-07-29
a vintage photo of an old building | 90.6% | |
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a black and white photo of an old building | 88.4% | |
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a vintage photo of a building | 88.3% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20437448/940,748,47,15/full/0/native.jpg)
Triuleoe
![](https://ids.lib.harvard.edu/ids/iiif/20437448/832,748,42,14/full/0/native.jpg)
le Blond
![](https://ids.lib.harvard.edu/ids/iiif/20437448/30,749,43,14/full/0/native.jpg)
Berelle
![](https://ids.lib.harvard.edu/ids/iiif/20437448/75,751,53,12/full/0/native.jpg)
Inuenper
![](https://ids.lib.harvard.edu/ids/iiif/20437448/876,750,39,9/full/0/native.jpg)
ncudlir
![](https://ids.lib.harvard.edu/ids/iiif/20437448/30,749,127,16/full/0/native.jpg)
Berelle Inuenper fruit
![](https://ids.lib.harvard.edu/ids/iiif/20437448/127,751,30,14/full/0/native.jpg)
fruit
![](https://ids.lib.harvard.edu/ids/iiif/20437448/832,746,155,17/full/0/native.jpg)
le Blond ncudlir awe Triuleoe
![](https://ids.lib.harvard.edu/ids/iiif/20437448/379,413,154,77/full/0/native.jpg)
lhh
![](https://ids.lib.harvard.edu/ids/iiif/20437448/919,752,22,8/full/0/native.jpg)
awe
![](https://ids.lib.harvard.edu/ids/iiif/20437448/35,752,956,19/full/0/native.jpg)
le Blond excudit au Triulege
Perelle Inueneu fiat
![](https://ids.lib.harvard.edu/ids/iiif/20437448/832,753,11,13/full/0/native.jpg)
le
![](https://ids.lib.harvard.edu/ids/iiif/20437448/841,752,37,14/full/0/native.jpg)
Blond
![](https://ids.lib.harvard.edu/ids/iiif/20437448/880,752,40,15/full/0/native.jpg)
excudit
![](https://ids.lib.harvard.edu/ids/iiif/20437448/923,758,22,9/full/0/native.jpg)
au
![](https://ids.lib.harvard.edu/ids/iiif/20437448/943,753,48,16/full/0/native.jpg)
Triulege
![](https://ids.lib.harvard.edu/ids/iiif/20437448/35,753,40,18/full/0/native.jpg)
Perelle
![](https://ids.lib.harvard.edu/ids/iiif/20437448/79,755,53,16/full/0/native.jpg)
Inueneu
![](https://ids.lib.harvard.edu/ids/iiif/20437448/133,756,27,14/full/0/native.jpg)
fiat