Machine Generated Data
Tags
Amazon
created on 2022-06-04
Railway | 99.4 | |
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Rail | 99.4 | |
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Train Track | 99.4 | |
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Transportation | 99.4 | |
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Road | 72 | |
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Imagga
created on 2022-06-04
track | 100 | |
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snow | 33.4 | |
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landscape | 30.5 | |
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road | 25.3 | |
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sky | 24.3 | |
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travel | 24 | |
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transportation | 21.5 | |
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winter | 20.4 | |
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tree | 19.2 | |
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cold | 18.1 | |
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trees | 17.8 | |
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mountain | 16 | |
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rural | 15.9 | |
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structure | 15.7 | |
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outdoor | 15.3 | |
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scenic | 14.9 | |
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transport | 14.6 | |
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wall | 14.6 | |
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way | 14.2 | |
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mountains | 13.9 | |
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day | 13.4 | |
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old | 13.2 | |
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weather | 13.2 | |
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country | 13.2 | |
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season | 12.5 | |
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forest | 12.2 | |
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empty | 12 | |
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countryside | 11.9 | |
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railway | 11.8 | |
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building | 11.6 | |
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train | 11.6 | |
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outdoors | 11.2 | |
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clouds | 11 | |
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architecture | 10.9 | |
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station | 10.9 | |
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railroad | 10.8 | |
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park | 10.7 | |
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snowy | 10.7 | |
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highway | 10.6 | |
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industry | 10.3 | |
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color | 10 | |
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scenery | 9.9 | |
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sidewalk | 9.7 | |
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scene | 9.5 | |
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ice | 9.4 | |
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perspective | 9.4 | |
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journey | 9.4 | |
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water | 9.3 | |
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field | 9.2 | |
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city | 9.2 | |
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rails | 8.9 | |
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barrier | 8.9 | |
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metal | 8.9 | |
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frost | 8.6 | |
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cloud | 8.6 | |
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line | 8.6 | |
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street | 8.3 | |
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tourism | 8.3 | |
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tunnel | 8.1 | |
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horizon | 8.1 | |
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lines | 8.1 | |
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light | 8 | |
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river | 8 | |
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urban | 7.9 | |
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stone | 7.8 | |
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rock | 7.8 | |
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drive | 7.6 | |
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frame | 7.5 | |
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destination | 7.5 | |
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speed | 7.3 | |
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summer | 7.1 | |
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Google
created on 2022-06-04
Black | 89.5 | |
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Track | 86 | |
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Black-and-white | 84.5 | |
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Railway | 81 | |
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Tree | 79.3 | |
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Parallel | 78.4 | |
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Electricity | 77.9 | |
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Tints and shades | 77.2 | |
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Monochrome photography | 74.9 | |
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Monochrome | 74.3 | |
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Sky | 73.6 | |
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Slope | 70.3 | |
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Soil | 65.8 | |
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Landscape | 65.8 | |
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Asphalt | 65.1 | |
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Symmetry | 65 | |
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Stock photography | 63.1 | |
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Winter | 62.1 | |
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Art | 61.3 | |
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Overhead power line | 59.9 | |
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Microsoft
created on 2022-06-04
black and white | 97.1 | |
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outdoor | 93.3 | |
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monochrome | 77.8 | |
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snow | 71.8 | |
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water | 71.8 | |
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night | 57.9 | |
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sky | 55.2 | |
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old | 40.6 | |
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several | 14 | |
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Color Analysis
Categories
Imagga
nature landscape | 47.5% | |
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paintings art | 20.7% | |
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streetview architecture | 17.9% | |
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cars vehicles | 5.4% | |
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beaches seaside | 4.1% | |
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food drinks | 1.7% | |
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Captions
Microsoft
created on 2022-06-04
an old photo of a train yard | 49.4% | |
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a train yard | 36.1% | |
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an old photo of a train | 36% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489085/964,267,27,11/full/0/native.jpg)
CONES
![](https://ids.lib.harvard.edu/ids/iiif/20489085/869,720,81,25/full/0/native.jpg)
13786
![](https://ids.lib.harvard.edu/ids/iiif/20489085/905,256,53,28/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/20489085/883,273,15,9/full/0/native.jpg)
SODA
![](https://ids.lib.harvard.edu/ids/iiif/20489085/1006,255,17,15/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/20489085/38,255,988,498/full/0/native.jpg)
FARRAGUT ROAD SO.BOSTON
DECRCAN
Coca Cola CONES
SIDA
13786
1020
![](https://ids.lib.harvard.edu/ids/iiif/20489085/38,717,135,33/full/0/native.jpg)
FARRAGUT
![](https://ids.lib.harvard.edu/ids/iiif/20489085/167,718,76,33/full/0/native.jpg)
ROAD
![](https://ids.lib.harvard.edu/ids/iiif/20489085/244,719,153,34/full/0/native.jpg)
SO.BOSTON
![](https://ids.lib.harvard.edu/ids/iiif/20489085/964,256,31,13/full/0/native.jpg)
DECRCAN
![](https://ids.lib.harvard.edu/ids/iiif/20489085/907,263,27,20/full/0/native.jpg)
Coca
![](https://ids.lib.harvard.edu/ids/iiif/20489085/929,263,31,20/full/0/native.jpg)
Cola
![](https://ids.lib.harvard.edu/ids/iiif/20489085/963,263,33,20/full/0/native.jpg)
CONES
![](https://ids.lib.harvard.edu/ids/iiif/20489085/883,273,19,12/full/0/native.jpg)
SIDA
![](https://ids.lib.harvard.edu/ids/iiif/20489085/869,722,83,27/full/0/native.jpg)
13786
![](https://ids.lib.harvard.edu/ids/iiif/20489085/1004,257,22,14/full/0/native.jpg)
1020