Machine Generated Data
Tags
Amazon
created on 2023-10-05
Clarifai
created on 2018-05-11
Imagga
created on 2023-10-05
landscape | 34.3 | |
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sky | 32.3 | |
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structure | 25.2 | |
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grass | 22.2 | |
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clouds | 22 | |
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trees | 19.6 | |
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tree | 19.6 | |
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road | 19 | |
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rural | 18.5 | |
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summer | 17.4 | |
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field | 16.8 | |
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water | 16.7 | |
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travel | 16.2 | |
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city | 15.8 | |
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scenic | 14.9 | |
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architecture | 14.2 | |
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farm | 13.4 | |
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fence | 13.3 | |
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country | 13.2 | |
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weather | 12.9 | |
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house | 12.7 | |
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outdoors | 12.7 | |
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car | 12.1 | |
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countryside | 11.9 | |
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day | 11.8 | |
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coast | 11.7 | |
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pier | 11.4 | |
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wheeled vehicle | 11.3 | |
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scene | 11.3 | |
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bridge | 11.1 | |
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sea | 11 | |
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scenery | 10.8 | |
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outdoor | 10.7 | |
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mountain | 10.7 | |
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panorama | 10.5 | |
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building | 10.4 | |
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cloud | 10.4 | |
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ocean | 10.1 | |
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tourism | 9.9 | |
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environment | 9.9 | |
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forest | 9.6 | |
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freight car | 9.6 | |
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spring | 9.4 | |
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light | 9.4 | |
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town | 9.3 | |
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land | 9.3 | |
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park | 9.1 | |
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vehicle | 9 | |
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barrier | 9 | |
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fields | 8.7 | |
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outside | 8.6 | |
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buildings | 8.5 | |
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cloudy | 8.5 | |
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shore | 8.4 | |
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support | 8.1 | |
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horizon | 8.1 | |
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track | 8.1 | |
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wall | 8 | |
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river | 8 | |
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sand | 7.9 | |
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season | 7.8 | |
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color | 7.8 | |
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billboard | 7.7 | |
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lawn | 7.6 | |
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hill | 7.5 | |
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plants | 7.4 | |
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device | 7.4 | |
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lake | 7.3 | |
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plant | 7.2 | |
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village | 7.1 | |
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beach | 7.1 | |
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agriculture | 7 | |
|
Google
created on 2018-05-11
black and white | 89.2 | |
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monochrome photography | 73 | |
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monochrome | 68.6 | |
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house | 64.1 | |
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history | 61.2 | |
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sky | 54.3 | |
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land lot | 53.4 | |
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water | 51.7 | |
|
Color Analysis
Categories
Imagga
beaches seaside | 99.9% | |
|
Captions
Microsoft
created on 2018-05-11
a vintage photo of a field | 91.7% | |
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a black and white photo of a field | 91% | |
| ||
a black and white photo of a dirt field | 90.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43158523/403,295,58,15/full/0/native.jpg)
HEATED
![](https://ids.lib.harvard.edu/ids/iiif/43158523/403,294,121,17/full/0/native.jpg)
HEATED CABINS
![](https://ids.lib.harvard.edu/ids/iiif/43158523/468,295,56,15/full/0/native.jpg)
CABINS
![](https://ids.lib.harvard.edu/ids/iiif/43158523/345,223,45,9/full/0/native.jpg)
BEER-LUNCH
![](https://ids.lib.harvard.edu/ids/iiif/43158523/345,223,71,9/full/0/native.jpg)
BEER-LUNCH CARINS
![](https://ids.lib.harvard.edu/ids/iiif/43158523/393,226,23,5/full/0/native.jpg)
CARINS
![](https://ids.lib.harvard.edu/ids/iiif/43158523/266,225,27,5/full/0/native.jpg)
LICK-W
![](https://ids.lib.harvard.edu/ids/iiif/43158523/238,265,24,8/full/0/native.jpg)
Coca-Cola
![](https://ids.lib.harvard.edu/ids/iiif/43158523/295,224,25,8/full/0/native.jpg)
Y NN
![](https://ids.lib.harvard.edu/ids/iiif/43158523/405,296,124,19/full/0/native.jpg)
HEATED CABINS
![](https://ids.lib.harvard.edu/ids/iiif/43158523/405,296,61,19/full/0/native.jpg)
HEATED
![](https://ids.lib.harvard.edu/ids/iiif/43158523/469,296,60,18/full/0/native.jpg)
CABINS