Machine Generated Data
Tags
Amazon
created on 2019-11-19
Watercraft | 99.8 | |
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Transportation | 99.8 | |
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Vehicle | 99.8 | |
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Vessel | 99.8 | |
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Boat | 97.7 | |
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Water | 94.4 | |
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Waterfront | 94.4 | |
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Wheel | 94 | |
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Machine | 94 | |
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Dock | 92 | |
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Pier | 92 | |
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Port | 92 | |
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Car | 86.4 | |
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Automobile | 86.4 | |
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Wheel | 83.7 | |
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Dinghy | 59 | |
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Tire | 57.8 | |
|
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
Google
created on 2019-11-19
Boat | 94 | |
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Vehicle | 92.7 | |
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Sloop | 84 | |
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Sailboat | 82.3 | |
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Watercraft | 76.4 | |
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Sailing | 74.5 | |
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Friendship sloop | 73.2 | |
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Sail | 62.9 | |
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Ship | 59.2 | |
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Yawl | 57.8 | |
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Naval architecture | 55.7 | |
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Yacht | 53.6 | |
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Water transportation | 53.4 | |
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Microsoft
created on 2019-11-19
ship | 99.7 | |
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watercraft | 97 | |
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boat | 96.1 | |
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vehicle | 91.9 | |
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outdoor | 89.6 | |
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text | 79.7 | |
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old | 67.4 | |
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black and white | 53 | |
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Color Analysis
Feature analysis
Categories
Imagga
interior objects | 96.9% | |
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cars vehicles | 1.3% | |
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events parties | 1.2% | |
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Captions
Microsoft
created on 2019-11-19
a black and white photo of a boat | 82.8% | |
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an old photo of a boat | 82.7% | |
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old photo of a boat | 82.6% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14309652/775,354,30,12/full/0/native.jpg)
1574
![](https://ids.lib.harvard.edu/ids/iiif/14309652/751,355,53,12/full/0/native.jpg)
IOR 1574
![](https://ids.lib.harvard.edu/ids/iiif/14309652/752,356,24,10/full/0/native.jpg)
IOR
![](https://ids.lib.harvard.edu/ids/iiif/14309652/756,358,232,50/full/0/native.jpg)
1OH 1574
ANTIQUE
![](https://ids.lib.harvard.edu/ids/iiif/14309652/756,361,23,12/full/0/native.jpg)
1OH
![](https://ids.lib.harvard.edu/ids/iiif/14309652/780,358,27,14/full/0/native.jpg)
1574
![](https://ids.lib.harvard.edu/ids/iiif/14309652/945,391,43,17/full/0/native.jpg)
ANTIQUE