Machine Generated Data
Tags
Amazon
created on 2019-05-28
Aircraft | 99.5 | |
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Helicopter | 99.5 | |
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Transportation | 99.5 | |
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Vehicle | 99.5 | |
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Person | 95.6 | |
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Human | 95.6 | |
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Spaceship | 58.6 | |
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Landing | 58.4 | |
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Airplane | 58.4 | |
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Clarifai
created on 2019-05-28
vehicle | 99.4 | |
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transportation system | 99 | |
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watercraft | 97.8 | |
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aircraft | 97 | |
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military | 96.4 | |
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no person | 95.5 | |
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ship | 93.6 | |
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navy | 92.2 | |
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war | 91.3 | |
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people | 90.4 | |
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one | 90.2 | |
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industry | 90 | |
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warship | 89.9 | |
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water | 89.1 | |
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monochrome | 85.3 | |
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travel | 83.5 | |
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airplane | 83.2 | |
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helicopter | 79.3 | |
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sea | 77.7 | |
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two | 77.5 | |
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Imagga
created on 2019-05-28
Google
created on 2019-05-28
Helicopter | 97.5 | |
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Rotorcraft | 94.7 | |
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Vehicle | 93.3 | |
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Aircraft | 67.5 | |
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Bell uh-1 iroquois | 62.6 | |
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Aviation | 52.6 | |
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Microsoft
created on 2019-05-28
ship | 99.4 | |
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sewing machine | 98.7 | |
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appliance | 98.6 | |
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vehicle | 93.5 | |
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watercraft | 91.1 | |
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boat | 87.2 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15720133/115,32,875,538/full/0/native.jpg)
Helicopter | 99.5% | |
|
![](https://ids.lib.harvard.edu/ids/iiif/15720133/551,301,94,158/full/0/native.jpg)
Person | 95.6% | |
|
Categories
Imagga
cars vehicles | 99% | |
|
Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15720133/335,425,57,18/full/0/native.jpg)
TRTIM.
![](https://ids.lib.harvard.edu/ids/iiif/15720133/358,462,24,7/full/0/native.jpg)
o
![](https://ids.lib.harvard.edu/ids/iiif/15720133/341,429,53,42/full/0/native.jpg)
虹1mlf.
2809
![](https://ids.lib.harvard.edu/ids/iiif/15720133/341,430,22,18/full/0/native.jpg)
虹
![](https://ids.lib.harvard.edu/ids/iiif/15720133/355,429,34,19/full/0/native.jpg)
1mlf
![](https://ids.lib.harvard.edu/ids/iiif/15720133/385,429,9,16/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/15720133/346,449,38,22/full/0/native.jpg)
2809