Machine Generated Data
Tags
Amazon
created on 2019-06-06
Nature | 94.6 | |
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Outdoors | 91.4 | |
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Building | 90.4 | |
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Housing | 85.8 | |
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Road | 79.3 | |
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Urban | 76.5 | |
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Shelter | 74.4 | |
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Countryside | 74.4 | |
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Rural | 74.4 | |
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Art | 73.5 | |
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House | 67.7 | |
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Weather | 67.3 | |
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Steeple | 65.6 | |
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Spire | 65.6 | |
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Tower | 65.6 | |
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Architecture | 65.6 | |
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Vehicle | 63.4 | |
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Transportation | 63.4 | |
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Train | 63.4 | |
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Yard | 60.2 | |
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Neighborhood | 59.6 | |
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Tree | 57.6 | |
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Plant | 57.6 | |
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Cottage | 57.3 | |
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Text | 56.8 | |
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Street | 56.8 | |
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Town | 56.8 | |
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City | 56.8 | |
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Intersection | 55.1 | |
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Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43317216/82,414,193,92/full/0/native.jpg)
Train | 63.4% | |
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Categories
Imagga
cars vehicles | 99.8% | |
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Captions
Microsoft
created on 2019-06-06
a vintage photo of an old building | 85.6% | |
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a vintage photo of a house | 85.5% | |
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a vintage photo of a building | 82.3% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43317216/401,800,195,33/full/0/native.jpg)
EXTERIOR.
![](https://ids.lib.harvard.edu/ids/iiif/43317216/390,264,272,89/full/0/native.jpg)
FILH
![](https://ids.lib.harvard.edu/ids/iiif/43317216/311,260,350,94/full/0/native.jpg)
IL FILH
![](https://ids.lib.harvard.edu/ids/iiif/43317216/310,279,35,68/full/0/native.jpg)
IL
![](https://ids.lib.harvard.edu/ids/iiif/43317216/410,809,189,27/full/0/native.jpg)
EXTERIOR .
![](https://ids.lib.harvard.edu/ids/iiif/43317216/410,809,175,27/full/0/native.jpg)
EXTERIOR
![](https://ids.lib.harvard.edu/ids/iiif/43317216/592,824,7,6/full/0/native.jpg)
.