Machine Generated Data
Tags
Amazon
created on 2019-11-01
Clarifai
created on 2019-11-01
Imagga
created on 2019-11-01
sketch | 100 | |
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drawing | 100 | |
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representation | 90.9 | |
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architecture | 48.1 | |
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building | 41.6 | |
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city | 34.1 | |
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old | 30 | |
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landmark | 29.8 | |
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house | 27 | |
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history | 26 | |
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snow | 25.9 | |
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vintage | 24 | |
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travel | 24 | |
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ancient | 23.4 | |
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historic | 22.9 | |
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grunge | 22.2 | |
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tourism | 19.8 | |
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tower | 19.7 | |
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facade | 18.2 | |
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winter | 17.9 | |
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palace | 17.5 | |
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antique | 17.3 | |
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sky | 16.6 | |
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landscape | 16.4 | |
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culture | 16.3 | |
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famous | 15.8 | |
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structure | 15.4 | |
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paper | 14.9 | |
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retro | 14.8 | |
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aged | 14.5 | |
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old fashioned | 14.3 | |
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historical | 14.1 | |
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church | 13.9 | |
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construction | 13.7 | |
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religion | 13.5 | |
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urban | 13.1 | |
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temple | 13 | |
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town | 13 | |
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exterior | 12.9 | |
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style | 12.6 | |
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stone | 11.8 | |
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art | 11.1 | |
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window | 11 | |
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cathedral | 10.9 | |
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tourist | 10.9 | |
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grain | 10.2 | |
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texture | 9.7 | |
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residence | 9.7 | |
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sepia | 9.7 | |
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scenic | 9.7 | |
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heritage | 9.7 | |
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home | 9.6 | |
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artistic | 9.6 | |
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cold | 9.5 | |
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monument | 9.3 | |
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street | 9.2 | |
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castle | 9 | |
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river | 8.9 | |
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rural | 8.8 | |
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wall | 8.8 | |
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roof | 8.6 | |
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season | 8.6 | |
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cityscape | 8.5 | |
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brick | 8.5 | |
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dirty | 8.1 | |
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obsolete | 7.7 | |
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worn | 7.6 | |
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panorama | 7.6 | |
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england | 7.6 | |
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grungy | 7.6 | |
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religious | 7.5 | |
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destination | 7.5 | |
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ornate | 7.3 | |
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scenery | 7.2 | |
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holiday | 7.2 | |
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trees | 7.1 | |
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weather | 7.1 | |
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Google
created on 2019-11-01
Painting | 75 | |
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Art | 72.1 | |
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Visual arts | 69.9 | |
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Drawing | 67.7 | |
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Artwork | 62.5 | |
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Sketch | 62.4 | |
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Illustration | 60.2 | |
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Stock photography | 59.4 | |
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House | 59.3 | |
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Building | 57 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 70.5% | |
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streetview architecture | 24.1% | |
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nature landscape | 4.1% | |
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beaches seaside | 1.1% | |
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Captions
Microsoft
created on 2019-11-01
a black and white photo of an old building | 83% | |
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an old photo of a building | 82.9% | |
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an old photo of a church | 82.8% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20428373/436,563,27,16/full/0/native.jpg)
del
![](https://ids.lib.harvard.edu/ids/iiif/20428373/459,561,60,21/full/0/native.jpg)
Tempo
![](https://ids.lib.harvard.edu/ids/iiif/20428373/383,562,283,21/full/0/native.jpg)
Weuta del Tempo Della Fortuna virile
![](https://ids.lib.harvard.edu/ids/iiif/20428373/624,563,43,16/full/0/native.jpg)
virile
![](https://ids.lib.harvard.edu/ids/iiif/20428373/564,565,60,14/full/0/native.jpg)
Fortuna
![](https://ids.lib.harvard.edu/ids/iiif/20428373/522,563,39,18/full/0/native.jpg)
Della
![](https://ids.lib.harvard.edu/ids/iiif/20428373/384,563,50,16/full/0/native.jpg)
Weuta
![](https://ids.lib.harvard.edu/ids/iiif/20428373/149,564,737,25/full/0/native.jpg)
e ee&choe dmb
Veduta del Tempio della Fortuna rirle
hrwneho
w
![](https://ids.lib.harvard.edu/ids/iiif/20428373/754,565,11,11/full/0/native.jpg)
e
![](https://ids.lib.harvard.edu/ids/iiif/20428373/776,564,54,12/full/0/native.jpg)
ee&choe
![](https://ids.lib.harvard.edu/ids/iiif/20428373/857,568,29,13/full/0/native.jpg)
dmb
![](https://ids.lib.harvard.edu/ids/iiif/20428373/383,566,56,22/full/0/native.jpg)
Veduta
![](https://ids.lib.harvard.edu/ids/iiif/20428373/439,567,26,21/full/0/native.jpg)
del
![](https://ids.lib.harvard.edu/ids/iiif/20428373/464,565,60,23/full/0/native.jpg)
Tempio
![](https://ids.lib.harvard.edu/ids/iiif/20428373/524,565,39,22/full/0/native.jpg)
della
![](https://ids.lib.harvard.edu/ids/iiif/20428373/566,565,60,22/full/0/native.jpg)
Fortuna
![](https://ids.lib.harvard.edu/ids/iiif/20428373/628,567,41,17/full/0/native.jpg)
rirle
![](https://ids.lib.harvard.edu/ids/iiif/20428373/296,566,66,12/full/0/native.jpg)
hrwneho
![](https://ids.lib.harvard.edu/ids/iiif/20428373/149,578,25,11/full/0/native.jpg)
w