Machine Generated Data
Tags
Amazon
created on 2019-08-06
Clarifai
created on 2019-08-06
Imagga
created on 2019-08-06
snow | 100 | |
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weather | 83.3 | |
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winter | 58 | |
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cold | 47.4 | |
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landscape | 45.5 | |
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forest | 43.7 | |
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trees | 40.1 | |
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ice | 34.1 | |
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tree | 31.8 | |
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sky | 29.8 | |
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season | 29.7 | |
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frost | 26.9 | |
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frozen | 25.8 | |
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park | 25.6 | |
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snowy | 24.4 | |
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outdoors | 22.4 | |
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lake | 22 | |
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mountain | 20.9 | |
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ski slope | 20.6 | |
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woods | 20.1 | |
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river | 18.7 | |
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freeze | 18.5 | |
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wood | 18.4 | |
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chairlift | 16.8 | |
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water | 16.7 | |
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slope | 16.4 | |
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scenic | 15.8 | |
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ski tow | 15.6 | |
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branch | 15.5 | |
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travel | 15.5 | |
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scenery | 15.4 | |
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day | 14.9 | |
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mountains | 14.8 | |
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scene | 14.7 | |
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pine | 14.4 | |
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outdoor | 13.8 | |
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sun | 13.7 | |
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conveyance | 13 | |
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geological formation | 12.9 | |
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rural | 12.4 | |
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natural | 12.1 | |
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calm | 11.9 | |
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frosty | 11.8 | |
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country | 11.4 | |
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horizon | 10.8 | |
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light | 10.7 | |
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environment | 10.7 | |
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seasonal | 10.5 | |
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climate | 10.4 | |
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clouds | 10.2 | |
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covered | 9.7 | |
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fog | 9.7 | |
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grass | 9.5 | |
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wilderness | 9.5 | |
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field | 9.2 | |
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vacation | 9 | |
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recreation | 9 | |
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range | 9 | |
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new | 8.9 | |
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ski | 8.8 | |
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alpine | 8.8 | |
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icy | 8.8 | |
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majestic | 8.7 | |
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quiet | 8.7 | |
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sunny | 8.6 | |
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sea | 8.6 | |
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old | 8.4 | |
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peaceful | 8.3 | |
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national | 8.2 | |
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cool | 8 | |
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bright | 7.9 | |
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spring | 7.9 | |
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evergreen | 7.8 | |
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nobody | 7.8 | |
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cloud | 7.8 | |
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trail | 7.8 | |
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scenics | 7.7 | |
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house | 7.5 | |
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plant | 7.5 | |
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city | 7.5 | |
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drawing | 7.4 | |
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crystal | 7.3 | |
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holiday | 7.2 | |
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Google
created on 2019-08-06
Art | 77.2 | |
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Painting | 74.6 | |
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Drawing | 66.9 | |
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Illustration | 66.9 | |
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Artwork | 65.9 | |
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Printmaking | 63 | |
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Bayou | 58.8 | |
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Photographic paper | 57 | |
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Sketch | 54.4 | |
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Color Analysis
Feature analysis
Categories
Imagga
paintings art | 61.9% | |
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nature landscape | 31.4% | |
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beaches seaside | 3.7% | |
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Captions
Microsoft
created on 2019-08-06
a close up of text on the side of the water | 39.7% | |
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a close up of text on a white surface | 39.6% | |
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a close up of text on a white background | 39.5% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20456408/186,109,13,13/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20456408/145,89,76,18/full/0/native.jpg)
Chusea
![](https://ids.lib.harvard.edu/ids/iiif/20456408/145,88,142,19/full/0/native.jpg)
Chusea ssimou
![](https://ids.lib.harvard.edu/ids/iiif/20456408/253,109,48,11/full/0/native.jpg)
Weto
![](https://ids.lib.harvard.edu/ids/iiif/20456408/164,110,20,9/full/0/native.jpg)
Cul
![](https://ids.lib.harvard.edu/ids/iiif/20456408/163,106,140,19/full/0/native.jpg)
Cul ul of winrbriwansow of Wheorr Weto
![](https://ids.lib.harvard.edu/ids/iiif/20456408/199,107,51,16/full/0/native.jpg)
Wheorr
![](https://ids.lib.harvard.edu/ids/iiif/20456408/224,89,63,18/full/0/native.jpg)
ssimou
![](https://ids.lib.harvard.edu/ids/iiif/20456408/166,106,138,18/full/0/native.jpg)
ul of winrbriwansow
![](https://ids.lib.harvard.edu/ids/iiif/20456408/166,111,138,17/full/0/native.jpg)
Gul of What
aloar
![](https://ids.lib.harvard.edu/ids/iiif/20456408/202,111,33,17/full/0/native.jpg)
What
![](https://ids.lib.harvard.edu/ids/iiif/20456408/254,111,50,17/full/0/native.jpg)
aloar
![](https://ids.lib.harvard.edu/ids/iiif/20456408/166,113,22,13/full/0/native.jpg)
Gul
![](https://ids.lib.harvard.edu/ids/iiif/20456408/187,111,15,17/full/0/native.jpg)
of