Machine Generated Data
Tags
Amazon
created on 2022-01-15
Nature | 94.2 | |
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Water | 90.1 | |
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Vehicle | 88.2 | |
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Transportation | 88.2 | |
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Outdoors | 84.9 | |
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Ship | 83.1 | |
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Cruiser | 82.9 | |
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Military | 82.9 | |
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Navy | 82.9 | |
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Aircraft | 80.3 | |
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Airplane | 80.3 | |
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Watercraft | 78.9 | |
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Vessel | 78.9 | |
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Battleship | 77.2 | |
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Waterfront | 71.5 | |
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Ocean | 68.6 | |
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Sea | 68.6 | |
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Building | 66.4 | |
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Pier | 64.8 | |
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Dock | 64.8 | |
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Port | 64.8 | |
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Steamer | 58.6 | |
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Human | 58.1 | |
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Weather | 57.7 | |
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River | 55.8 | |
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Bridge | 55.4 | |
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Architecture | 55.2 | |
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Person | 53.6 | |
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Clarifai
created on 2023-10-26
Imagga
created on 2022-01-15
Google
created on 2022-01-15
Water | 96.8 | |
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Water resources | 94.8 | |
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Black-and-white | 84.6 | |
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Style | 83.8 | |
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Sky | 83.2 | |
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Rectangle | 79.7 | |
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Horizon | 77.2 | |
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Font | 76.8 | |
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Monochrome photography | 75.6 | |
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Monochrome | 75.4 | |
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Lake | 72.7 | |
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Landscape | 70.6 | |
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Art | 64.6 | |
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Stock photography | 63.4 | |
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Wind wave | 63.3 | |
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Tree | 63.2 | |
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Ocean | 62 | |
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Wind | 59.3 | |
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Still life photography | 59 | |
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Coast | 58.2 | |
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Microsoft
created on 2022-01-15
ship | 99.6 | |
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text | 99.5 | |
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watercraft | 89 | |
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water | 88 | |
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outdoor | 86.8 | |
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boat | 84.6 | |
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black and white | 66.7 | |
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sky | 60.4 | |
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old | 45.1 | |
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vintage | 28.6 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18818391/724,379,12,14/full/0/native.jpg)
AWS Rekognition
Age | 23-31 |
Gender | Female, 84.2% |
Calm | 71.3% |
Happy | 27.5% |
Surprised | 0.2% |
Angry | 0.2% |
Confused | 0.2% |
Fear | 0.2% |
Disgusted | 0.2% |
Sad | 0.1% |
Feature analysis
Categories
Imagga
cars vehicles | 78.9% | |
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beaches seaside | 15.5% | |
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nature landscape | 5.2% | |
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Captions
Microsoft
created on 2022-01-15
a vintage photo of a boat next to a body of water | 78.1% | |
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a vintage photo of a ship in a body of water | 75.2% | |
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a vintage photo of a boat | 75.1% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18818391/974,590,32,139/full/0/native.jpg)
81915
![](https://ids.lib.harvard.edu/ids/iiif/18818391/973,539,33,190/full/0/native.jpg)
KADOK 81915
![](https://ids.lib.harvard.edu/ids/iiif/18818391/990,539,12,59/full/0/native.jpg)
KADOK
![](https://ids.lib.harvard.edu/ids/iiif/18818391/987,367,17,145/full/0/native.jpg)
MJ17--YT37A°2
![](https://ids.lib.harvard.edu/ids/iiif/18818391/988,366,22,151/full/0/native.jpg)
MJI7--YT A°2
![](https://ids.lib.harvard.edu/ids/iiif/18818391/989,366,22,97/full/0/native.jpg)
MJI7--YT
![](https://ids.lib.harvard.edu/ids/iiif/18818391/990,491,21,26/full/0/native.jpg)
A°2