Machine Generated Data
Tags
Amazon
created on 2022-06-03
Imagga
created on 2022-06-03
Google
created on 2022-06-03
Water | 97.6 | |
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Boat | 96.7 | |
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Watercraft | 92.8 | |
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White | 92.2 | |
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Vehicle | 91.1 | |
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Black | 89.5 | |
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Boats and boating--Equipment and supplies | 87.1 | |
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Black-and-white | 84.8 | |
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Naval architecture | 84.3 | |
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Style | 83.8 | |
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Lake | 82.8 | |
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Recreation | 78.1 | |
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Monochrome photography | 73.6 | |
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Ship | 73 | |
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Monochrome | 72.9 | |
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Wind wave | 69.2 | |
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Powerboating | 66.2 | |
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Water transportation | 65.8 | |
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Skiff | 65.5 | |
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Sports | 64.8 | |
|
Microsoft
created on 2022-06-03
water | 98.9 | |
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outdoor | 98.7 | |
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boat | 95.4 | |
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watercraft | 95.4 | |
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surfing | 86 | |
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lake | 85.6 | |
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person | 79.6 | |
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text | 72.9 | |
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paddle | 64.6 | |
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canoe | 62.1 | |
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water sport | 57 | |
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black and white | 52.8 | |
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wave | 30.2 | |
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Color Analysis
Feature analysis
Categories
Imagga
pets animals | 99.3% | |
|
Captions
Microsoft
created on 2022-06-03
a group of people riding on the back of a boat | 90.8% | |
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a group of people riding on the back of a boat in the water | 89.9% | |
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a group of people riding on the back of a boat on the water | 88.5% | |
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Text analysis
![](https://ids.lib.harvard.edu/ids/iiif/18774851/12,171,37,93/full/0/native.jpg)
А АНӘА
![](https://ids.lib.harvard.edu/ids/iiif/18774851/14,171,32,13/full/0/native.jpg)
А
![](https://ids.lib.harvard.edu/ids/iiif/18774851/14,192,36,72/full/0/native.jpg)
АНӘА