Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
old | 32.1 | |
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space shuttle | 31.1 | |
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architecture | 30.7 | |
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building | 29.3 | |
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travel | 26.1 | |
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spacecraft | 25.8 | |
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craft | 23.4 | |
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ancient | 23.4 | |
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history | 23.3 | |
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grunge | 23 | |
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city | 22.5 | |
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vintage | 22.3 | |
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tourism | 22.3 | |
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antique | 21.6 | |
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bobbin | 21.6 | |
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structure | 21.3 | |
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historic | 21.1 | |
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ship | 20.3 | |
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satellite | 19.5 | |
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stone | 19.4 | |
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liner | 17.7 | |
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culture | 17.1 | |
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wall | 16.1 | |
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vehicle | 15.6 | |
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vessel | 15.3 | |
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sky | 15.3 | |
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town | 14.8 | |
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texture | 14.6 | |
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old fashioned | 14.3 | |
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grungy | 14.2 | |
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aged | 13.6 | |
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landmark | 13.5 | |
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passenger ship | 13.4 | |
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retro | 13.1 | |
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landscape | 12.7 | |
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scenic | 12.3 | |
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grain | 12 | |
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dirty | 11.8 | |
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scenery | 11.7 | |
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urban | 11.4 | |
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paper | 11 | |
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exterior | 10.1 | |
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street | 10.1 | |
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rough | 10 | |
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frame | 10 | |
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tower | 9.9 | |
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art | 9.8 | |
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castle | 9.6 | |
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obsolete | 9.6 | |
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scene | 9.5 | |
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monument | 9.3 | |
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space | 9.3 | |
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famous | 9.3 | |
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decoration | 9.1 | |
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border | 9.1 | |
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tunnel | 9 | |
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grime | 8.8 | |
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crumpled | 8.7 | |
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artistic | 8.7 | |
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rustic | 8.6 | |
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worn | 8.6 | |
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empty | 8.6 | |
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construction | 8.6 | |
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house | 8.4 | |
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daily | 8.2 | |
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vacation | 8.2 | |
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industrial | 8.2 | |
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graffito | 8.1 | |
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religion | 8.1 | |
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river | 8 | |
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stain | 7.7 | |
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medieval | 7.7 | |
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clouds | 7.6 | |
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historical | 7.5 | |
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outdoors | 7.5 | |
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window | 7.4 | |
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water | 7.3 | |
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device | 7.3 | |
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design | 7.3 | |
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brick | 7.2 | |
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Google
created on 2019-11-19
Photograph | 96.1 | |
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Black-and-white | 89.5 | |
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Snapshot | 83.6 | |
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Monochrome | 80.3 | |
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Monochrome photography | 78.5 | |
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Photography | 72.5 | |
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Stock photography | 62.1 | |
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Style | 54.3 | |
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Microsoft
created on 2019-11-19
text | 94.1 | |
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black and white | 74.7 | |
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snow | 68.3 | |
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old | 51.9 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 96.1% | |
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text visuals | 1.4% | |
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paintings art | 1.3% | |
|
Captions
Microsoft
created on 2019-11-19
an old photo of a store | 50% | |
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a store front at day | 49.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/13410596/666,358,74,24/full/0/native.jpg)
PACTEYC
![](https://ids.lib.harvard.edu/ids/iiif/13410596/604,355,136,25/full/0/native.jpg)
NoR PACTEYC
![](https://ids.lib.harvard.edu/ids/iiif/13410596/650,384,40,13/full/0/native.jpg)
PORAS
![](https://ids.lib.harvard.edu/ids/iiif/13410596/604,356,59,24/full/0/native.jpg)
NoR
![](https://ids.lib.harvard.edu/ids/iiif/13410596/612,359,133,32/full/0/native.jpg)
NON PACIFIC
![](https://ids.lib.harvard.edu/ids/iiif/13410596/612,359,57,29/full/0/native.jpg)
NON
![](https://ids.lib.harvard.edu/ids/iiif/13410596/669,360,76,31/full/0/native.jpg)
PACIFIC