Machine Generated Data
Tags
Amazon
created on 2019-04-02
Clarifai
created on 2018-03-23
Imagga
created on 2018-03-23
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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building | 36.6 | |
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architecture | 35.2 | |
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city | 34.1 | |
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tower | 30.5 | |
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history | 24.2 | |
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sky | 22.3 | |
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grunge | 22.2 | |
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structure | 21.9 | |
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landmark | 21.7 | |
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old | 20.9 | |
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vintage | 19.1 | |
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construction | 18 | |
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urban | 17.5 | |
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travel | 16.9 | |
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snow | 16.6 | |
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ancient | 16.4 | |
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house | 15.9 | |
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winter | 15.3 | |
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tourism | 14.9 | |
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town | 14.9 | |
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antique | 14.7 | |
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landscape | 14.1 | |
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old fashioned | 13.3 | |
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skyline | 13.3 | |
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culture | 12.8 | |
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paper | 12.6 | |
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scene | 12.1 | |
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silhouette | 11.6 | |
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tree | 11.5 | |
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retro | 11.5 | |
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buildings | 11.4 | |
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historical | 11.3 | |
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high | 11.3 | |
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design | 11.3 | |
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power | 10.9 | |
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aged | 10.9 | |
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art | 10.4 | |
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tall | 10.4 | |
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famous | 10.2 | |
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church | 10.2 | |
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energy | 10.1 | |
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historic | 10.1 | |
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texture | 9.7 | |
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scenic | 9.7 | |
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black | 9.6 | |
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electricity | 9.5 | |
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religion | 9 | |
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outdoors | 9 | |
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country | 8.8 | |
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stone | 8.4 | |
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frame | 8.3 | |
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grain | 8.3 | |
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technology | 8.2 | |
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style | 8.2 | |
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dirty | 8.1 | |
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trees | 8 | |
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space | 7.8 | |
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line | 7.7 | |
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wall | 7.7 | |
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industry | 7.7 | |
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wallpaper | 7.7 | |
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wire | 7.6 | |
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grungy | 7.6 | |
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cityscape | 7.6 | |
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bridge | 7.6 | |
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center | 7.6 | |
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monument | 7.5 | |
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street | 7.4 | |
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light | 7.4 | |
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rough | 7.3 | |
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scenery | 7.2 | |
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sunset | 7.2 | |
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Google
created on 2018-03-23
landmark | 91.6 | |
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structure | 83.7 | |
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production designer | 83.2 | |
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sketch | 81.3 | |
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black and white | 78.1 | |
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arch | 74.7 | |
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history | 73.5 | |
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drawing | 72.3 | |
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artwork | 64.2 | |
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visual arts | 61.7 | |
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art | 59.4 | |
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facade | 56 | |
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illustration | 50 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 92.9% | |
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streetview architecture | 5% | |
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text visuals | 1.2% | |
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nature landscape | 0.7% | |
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beaches seaside | 0.1% | |
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cars vehicles | 0.1% | |
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Captions
Microsoft
created on 2018-03-23
an old photo of a church | 82% | |
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an old photo of a city | 81.9% | |
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an old photo of a person | 75.7% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/11971365/894,672,43,23/full/0/native.jpg)
Vind
![](https://ids.lib.harvard.edu/ids/iiif/11971365/278,687,43,23/full/0/native.jpg)
Cum
![](https://ids.lib.harvard.edu/ids/iiif/11971365/688,674,75,25/full/0/native.jpg)
Melchior
![](https://ids.lib.harvard.edu/ids/iiif/11971365/861,674,32,30/full/0/native.jpg)
ng
![](https://ids.lib.harvard.edu/ids/iiif/11971365/527,682,26,19/full/0/native.jpg)
M
![](https://ids.lib.harvard.edu/ids/iiif/11971365/763,673,94,29/full/0/native.jpg)
Krisel fecit
![](https://ids.lib.harvard.edu/ids/iiif/11971365/687,673,325,36/full/0/native.jpg)
Melchior Krisel fecit ng Vind 109
![](https://ids.lib.harvard.edu/ids/iiif/11971365/328,684,87,29/full/0/native.jpg)
Priualegio
![](https://ids.lib.harvard.edu/ids/iiif/11971365/28,684,387,29/full/0/native.jpg)
I.IBaue inv. Cum Priualegio
![](https://ids.lib.harvard.edu/ids/iiif/11971365/102,691,38,17/full/0/native.jpg)
inv.
![](https://ids.lib.harvard.edu/ids/iiif/11971365/29,687,65,22/full/0/native.jpg)
I.IBaue
![](https://ids.lib.harvard.edu/ids/iiif/11971365/974,666,39,29/full/0/native.jpg)
109
![](https://ids.lib.harvard.edu/ids/iiif/11971365/560,479,298,225/full/0/native.jpg)
Ii
chior usell fecit
![](https://ids.lib.harvard.edu/ids/iiif/11971365/560,479,16,22/full/0/native.jpg)
Ii
![](https://ids.lib.harvard.edu/ids/iiif/11971365/724,682,38,22/full/0/native.jpg)
chior
![](https://ids.lib.harvard.edu/ids/iiif/11971365/767,681,50,22/full/0/native.jpg)
usell
![](https://ids.lib.harvard.edu/ids/iiif/11971365/819,680,39,22/full/0/native.jpg)
fecit