Machine Generated Data
Tags
Amazon
created on 2022-01-09
Nature | 99.9 | |
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Weather | 99.6 | |
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Outdoors | 99.4 | |
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Ice | 95.7 | |
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Mountain | 88.7 | |
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Cumulus | 88.4 | |
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Sky | 88.4 | |
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Cloud | 88.4 | |
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Boat | 84.2 | |
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Transportation | 84.2 | |
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Vehicle | 84.2 | |
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Water | 82.8 | |
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Landscape | 76.7 | |
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Snow | 75.8 | |
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Sea | 72.1 | |
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Ocean | 72.1 | |
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Bird | 67 | |
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Animal | 67 | |
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Scenery | 66.4 | |
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Bird | 59.3 | |
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Waterfront | 58.6 | |
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Pier | 56.9 | |
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Port | 56.9 | |
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Dock | 56.9 | |
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Shelter | 55.8 | |
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Countryside | 55.8 | |
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Building | 55.8 | |
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Rural | 55.8 | |
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Clarifai
created on 2023-10-25
monochrome | 99.8 | |
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watercraft | 99.1 | |
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ship | 98.9 | |
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water | 98 | |
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sea | 97.7 | |
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vehicle | 97.5 | |
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harbor | 97.3 | |
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transportation system | 96.7 | |
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sky | 96.5 | |
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boat | 96.3 | |
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no person | 95.1 | |
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fog | 94.1 | |
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black and white | 92.7 | |
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ocean | 92.2 | |
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lighthouse | 90.2 | |
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landscape | 89.4 | |
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bridge | 89.2 | |
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port | 88.7 | |
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industry | 88.7 | |
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river | 88.4 | |
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Imagga
created on 2022-01-09
Google
created on 2022-01-09
Sky | 95.3 | |
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Photograph | 94.2 | |
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Cloud | 93 | |
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Water | 91.6 | |
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Black | 89.9 | |
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Body of water | 86.4 | |
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Black-and-white | 85.3 | |
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Rectangle | 85.1 | |
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Tower | 84.8 | |
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Style | 83.9 | |
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Line | 82.4 | |
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Monochrome photography | 78.3 | |
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Tints and shades | 76.3 | |
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Monochrome | 76.2 | |
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Horizon | 75.1 | |
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Font | 73.3 | |
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Building | 72.4 | |
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Landscape | 72.3 | |
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Darkness | 67.6 | |
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Stock photography | 64.4 | |
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Color Analysis
Feature analysis
Categories
Imagga
text visuals | 62.4% | |
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cars vehicles | 17% | |
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beaches seaside | 9.8% | |
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nature landscape | 4.2% | |
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events parties | 2.7% | |
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interior objects | 2.3% | |
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Captions
Microsoft
created on 2022-01-09
a person standing in front of a cloudy sky | 83.1% | |
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a person flying through the air on a cloudy day | 59.3% | |
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a person standing in front of a cloudy sky | 59.2% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18790550/386,428,24,19/full/0/native.jpg)
DUTY
![](https://ids.lib.harvard.edu/ids/iiif/18790550/393,449,19,17/full/0/native.jpg)
AREA
![](https://ids.lib.harvard.edu/ids/iiif/18790550/374,428,36,20/full/0/native.jpg)
ON DUTY
![](https://ids.lib.harvard.edu/ids/iiif/18790550/376,433,10,15/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/18790550/678,4,152,29/full/0/native.jpg)
43124
![](https://ids.lib.harvard.edu/ids/iiif/18790550/370,449,42,20/full/0/native.jpg)
ANTHIS AREA
![](https://ids.lib.harvard.edu/ids/iiif/18790550/370,407,46,24/full/0/native.jpg)
LIFE GUARD
![](https://ids.lib.harvard.edu/ids/iiif/18790550/371,450,24,18/full/0/native.jpg)
ANTHIS
![](https://ids.lib.harvard.edu/ids/iiif/18790550/369,4,466,472/full/0/native.jpg)
4 3 12 4
LIFE GUARD
ON DUTY
NTHIS AREA
![](https://ids.lib.harvard.edu/ids/iiif/18790550/665,4,75,35/full/0/native.jpg)
4
![](https://ids.lib.harvard.edu/ids/iiif/18790550/742,4,28,34/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/18790550/767,4,48,34/full/0/native.jpg)
12
![](https://ids.lib.harvard.edu/ids/iiif/18790550/370,411,25,26/full/0/native.jpg)
LIFE
![](https://ids.lib.harvard.edu/ids/iiif/18790550/390,408,30,27/full/0/native.jpg)
GUARD
![](https://ids.lib.harvard.edu/ids/iiif/18790550/369,431,23,26/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/18790550/387,429,28,27/full/0/native.jpg)
DUTY
![](https://ids.lib.harvard.edu/ids/iiif/18790550/370,450,32,26/full/0/native.jpg)
NTHIS
![](https://ids.lib.harvard.edu/ids/iiif/18790550/397,448,20,25/full/0/native.jpg)
AREA