Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
vehicle | 98.9 | |
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transportation system | 97.4 | |
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people | 96.8 | |
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no person | 95.7 | |
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industry | 93.6 | |
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machine | 92.8 | |
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one | 88.7 | |
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technology | 87.7 | |
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two | 87.4 | |
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military | 86.7 | |
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retro | 84.8 | |
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group together | 83.9 | |
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grinder | 82.5 | |
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train | 80.3 | |
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adult | 79.2 | |
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watercraft | 79 | |
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three | 77.1 | |
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group | 76.1 | |
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aircraft | 75.7 | |
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engine | 74.9 | |
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Imagga
created on 2019-06-05
Google
created on 2019-06-05
Motor vehicle | 90.1 | |
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Machine | 71 | |
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Automotive wheel system | 65.4 | |
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Wheel | 65.2 | |
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Vehicle | 59.2 | |
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Classic | 56.7 | |
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Color Analysis
Feature analysis
Categories
Imagga
interior objects | 44.3% | |
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cars vehicles | 30.1% | |
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paintings art | 21.5% | |
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streetview architecture | 1.9% | |
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Captions
Microsoft
created on 2019-06-05
a vintage photo of a truck | 46.3% | |
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a vintage photo of an old building | 46.2% | |
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a vintage photo of a building | 46.1% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43314271/518,798,86,20/full/0/native.jpg)
INTERIOR
![](https://ids.lib.harvard.edu/ids/iiif/43314271/519,799,38,17/full/0/native.jpg)
INTE
![](https://ids.lib.harvard.edu/ids/iiif/43314271/853,101,54,32/full/0/native.jpg)
649
![](https://ids.lib.harvard.edu/ids/iiif/43314271/558,799,46,17/full/0/native.jpg)
RIOR
![](https://ids.lib.harvard.edu/ids/iiif/43314271/0,789,605,33/full/0/native.jpg)
fewer INTERIOR INTE RIOR
![](https://ids.lib.harvard.edu/ids/iiif/43314271/-1,789,100,34/full/0/native.jpg)
fewer
![](https://ids.lib.harvard.edu/ids/iiif/43314271/3,795,603,38/full/0/native.jpg)
INTERIOR
Pewee
![](https://ids.lib.harvard.edu/ids/iiif/43314271/3,795,108,38/full/0/native.jpg)
Pewee
![](https://ids.lib.harvard.edu/ids/iiif/43314271/522,804,84,18/full/0/native.jpg)
INTERIOR