Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
building | 94.6 | |
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barn | 78.7 | |
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structure | 66.2 | |
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farm building | 48.4 | |
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school | 40.7 | |
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house | 35.1 | |
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architecture | 29.4 | |
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old | 28.6 | |
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rural | 24.7 | |
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sky | 24.3 | |
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farm | 23.2 | |
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country | 20.2 | |
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home | 20 | |
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trees | 19.6 | |
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fence | 19.4 | |
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wall | 18.8 | |
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roof | 18.1 | |
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field | 15.9 | |
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wood | 15.9 | |
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exterior | 15.7 | |
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landscape | 14.9 | |
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wooden | 14.1 | |
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countryside | 13.7 | |
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history | 13.4 | |
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residential | 13.4 | |
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sketch | 13.2 | |
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winter | 12.8 | |
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drawing | 12.4 | |
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snow | 12.3 | |
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new | 12.2 | |
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historic | 11.9 | |
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rustic | 11.5 | |
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construction | 11.1 | |
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grass | 11.1 | |
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worm fence | 11 | |
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warehouse | 10.8 | |
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abandoned | 10.8 | |
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shed | 10.7 | |
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windows | 10.6 | |
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station | 10.6 | |
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cold | 10.3 | |
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tree | 10 | |
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cottage | 9.8 | |
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door | 9.5 | |
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estate | 9.5 | |
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buildings | 9.5 | |
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facility | 9.4 | |
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outdoors | 9 | |
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scenic | 8.8 | |
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rail fence | 8.8 | |
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residence | 8.8 | |
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fire station | 8.7 | |
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forest | 8.7 | |
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clouds | 8.5 | |
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travel | 8.5 | |
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mountains | 8.3 | |
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street | 8.3 | |
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window | 8.3 | |
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hut | 8 | |
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agriculture | 7.9 | |
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cabin | 7.9 | |
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garage | 7.7 | |
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storage | 7.6 | |
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real | 7.6 | |
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farming | 7.6 | |
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barrier | 7.6 | |
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city | 7.5 | |
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scenery | 7.2 | |
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summer | 7.1 | |
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Google
created on 2019-06-05
House | 93.1 | |
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Home | 92.5 | |
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Building | 76.8 | |
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Adaptation | 67 | |
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Room | 65.7 | |
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History | 57.6 | |
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Almshouse | 56.9 | |
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Paper product | 55.7 | |
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Art | 50.2 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43318225/411,438,37,81/full/0/native.jpg)
Person | 93.6% | |
|
Categories
Imagga
streetview architecture | 97.9% | |
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paintings art | 2% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of an old building | 88.8% | |
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a vintage photo of a house | 88.7% | |
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a vintage photo of a building | 88.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43318225/260,592,127,30/full/0/native.jpg)
CROWDED
![](https://ids.lib.harvard.edu/ids/iiif/43318225/879,594,99,30/full/0/native.jpg)
SPACE
![](https://ids.lib.harvard.edu/ids/iiif/43318225/708,595,78,26/full/0/native.jpg)
FREE
![](https://ids.lib.harvard.edu/ids/iiif/43318225/792,594,86,28/full/0/native.jpg)
YARD
![](https://ids.lib.harvard.edu/ids/iiif/43318225/81,592,897,35/full/0/native.jpg)
TENEMEHT5 CROWDED HALOTLEAVING HO FREE YARD SPACE
![](https://ids.lib.harvard.edu/ids/iiif/43318225/81,592,169,28/full/0/native.jpg)
TENEMEHT5
![](https://ids.lib.harvard.edu/ids/iiif/43318225/414,592,232,34/full/0/native.jpg)
HALOTLEAVING
![](https://ids.lib.harvard.edu/ids/iiif/43318225/656,594,48,28/full/0/native.jpg)
HO
![](https://ids.lib.harvard.edu/ids/iiif/43318225/89,595,894,37/full/0/native.jpg)
TENEMENTS CROWDED ON A LOTLEAVIHG HO FREE YARD SPACE
![](https://ids.lib.harvard.edu/ids/iiif/43318225/440,595,18,37/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/43318225/462,595,189,37/full/0/native.jpg)
LOTLEAVIHG
![](https://ids.lib.harvard.edu/ids/iiif/43318225/660,601,47,26/full/0/native.jpg)
HO
![](https://ids.lib.harvard.edu/ids/iiif/43318225/712,600,78,27/full/0/native.jpg)
FREE
![](https://ids.lib.harvard.edu/ids/iiif/43318225/795,600,86,28/full/0/native.jpg)
YARD
![](https://ids.lib.harvard.edu/ids/iiif/43318225/884,600,99,29/full/0/native.jpg)
SPACE
![](https://ids.lib.harvard.edu/ids/iiif/43318225/89,600,163,27/full/0/native.jpg)
TENEMENTS
![](https://ids.lib.harvard.edu/ids/iiif/43318225/265,601,124,25/full/0/native.jpg)
CROWDED
![](https://ids.lib.harvard.edu/ids/iiif/43318225/396,601,39,27/full/0/native.jpg)
ON