Machine Generated Data
Tags
Amazon
created on 2022-01-09
Person | 98.3 | |
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Human | 98.3 | |
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Person | 94.8 | |
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Person | 94.7 | |
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Building | 92 | |
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Person | 90.2 | |
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Person | 89.9 | |
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Person | 87.6 | |
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Vehicle | 87.4 | |
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Transportation | 87.4 | |
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Person | 86.2 | |
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Watercraft | 78.1 | |
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Vessel | 78.1 | |
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Person | 76.5 | |
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Person | 75.1 | |
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Ship | 73.5 | |
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Person | 72.3 | |
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Person | 71.2 | |
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Cruiser | 69 | |
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Military | 69 | |
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Navy | 69 | |
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Arena | 67 | |
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Battleship | 65.3 | |
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Person | 62.3 | |
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Architecture | 56 | |
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Boat | 55.6 | |
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Barge | 55.6 | |
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Stadium | 55.2 | |
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Person | 50.4 | |
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Person | 49.7 | |
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Clarifai
created on 2023-10-25
vehicle | 99.5 | |
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people | 98.6 | |
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watercraft | 98.4 | |
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many | 98 | |
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transportation system | 97.9 | |
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no person | 97 | |
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military | 95.9 | |
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group | 95.8 | |
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water | 94.7 | |
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war | 94 | |
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90.9 | ||
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monochrome | 89.3 | |
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group together | 89.2 | |
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river | 87.6 | |
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road | 85.5 | |
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aircraft | 84.6 | |
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adult | 82.5 | |
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ship | 82.1 | |
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cargo ship | 81.9 | |
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street | 80.9 | |
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Imagga
created on 2022-01-09
Google
created on 2022-01-09
World | 89 | |
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Sky | 87.9 | |
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Cloud | 87.5 | |
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Black-and-white | 86.7 | |
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Tree | 84.2 | |
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Style | 84 | |
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Rectangle | 81.8 | |
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Line | 81.7 | |
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Adaptation | 79.4 | |
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Monochrome | 78.4 | |
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Monochrome photography | 77.8 | |
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Font | 77.8 | |
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Tints and shades | 77.3 | |
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Urban design | 75.8 | |
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Landscape | 73.9 | |
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Building | 70.9 | |
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Horizon | 70.9 | |
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History | 65.5 | |
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City | 64.7 | |
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Room | 63.5 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18810994/210,555,47,77/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/465,489,29,53/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/581,386,16,44/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/245,475,34,41/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/541,382,20,46/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/643,391,15,40/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/487,378,20,70/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/582,486,29,43/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/733,427,16,35/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/514,475,23,48/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/320,434,14,45/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/609,385,17,45/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/309,438,13,41/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18810994/638,478,32,52/full/0/native.jpg)
Person | 98.3% | |
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Categories
Imagga
nature landscape | 42.3% | |
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cars vehicles | 31.3% | |
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beaches seaside | 23.5% | |
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Captions
Microsoft
created on 2022-01-09
a group of people standing next to a body of water | 77% | |
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a group of people in a body of water | 76.9% | |
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a group of people looking at a body of water | 72.3% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18810994/982,199,25,151/full/0/native.jpg)
geheh
![](https://ids.lib.harvard.edu/ids/iiif/18810994/992,386,19,111/full/0/native.jpg)
MJI7--YT
![](https://ids.lib.harvard.edu/ids/iiif/18810994/993,386,19,111/full/0/native.jpg)
MJI7--YT