Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
people | 96.4 | |
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monochrome | 95.9 | |
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no person | 95.2 | |
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vehicle | 88.7 | |
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transportation system | 87.7 | |
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messy | 86.4 | |
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snow | 85.2 | |
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retro | 85.2 | |
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art | 84.1 | |
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dirty | 83.8 | |
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winter | 83.7 | |
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cephalopod ink | 83.4 | |
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water | 82.2 | |
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splash | 79.8 | |
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street | 79.1 | |
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one | 77.7 | |
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black and white | 77.6 | |
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wear | 77.4 | |
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road | 77.4 | |
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landscape | 77.3 | |
|
Imagga
created on 2019-11-19
Google
created on 2019-11-19
Photograph | 96.1 | |
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Black | 95.7 | |
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White | 95.5 | |
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Black-and-white | 86.3 | |
| ||
Snapshot | 84.1 | |
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Photography | 78 | |
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Monochrome photography | 76.2 | |
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Photographic paper | 74.8 | |
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Room | 65.7 | |
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Stock photography | 65.4 | |
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Monochrome | 54.4 | |
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Vehicle | 54.4 | |
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Boating | 50.2 | |
|
Microsoft
created on 2019-11-19
water | 95.1 | |
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snow | 89.5 | |
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text | 85.3 | |
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black and white | 79.7 | |
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monochrome | 50.5 | |
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nature | 50.5 | |
|
Color Analysis
Categories
Imagga
nature landscape | 98.3% | |
|
Captions
Text analysis
![](https://ids.lib.harvard.edu/ids/iiif/14208215/274,205,28,24/full/0/native.jpg)
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![](https://ids.lib.harvard.edu/ids/iiif/14208215/274,205,28,24/full/0/native.jpg)
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