Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clarifai
created on 2018-05-10
people | 99.8 | |
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group together | 99.1 | |
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street | 97.4 | |
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adult | 96.8 | |
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vehicle | 96.8 | |
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transportation system | 95.9 | |
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home | 94 | |
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group | 93.5 | |
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monochrome | 93.3 | |
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administration | 92.3 | |
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many | 92.2 | |
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man | 91.8 | |
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war | 89 | |
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road | 88.4 | |
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three | 88.2 | |
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two | 87 | |
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military | 86.9 | |
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offense | 86.2 | |
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one | 85.9 | |
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no person | 83.7 | |
|
Imagga
created on 2023-10-06
Google
created on 2018-05-10
motor vehicle | 97.9 | |
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car | 97.8 | |
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vehicle | 94.5 | |
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transport | 92.9 | |
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black and white | 87.7 | |
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snapshot | 81.8 | |
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asphalt | 70.1 | |
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monochrome photography | 66.7 | |
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history | 62.3 | |
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street | 61.8 | |
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monochrome | 60.4 | |
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automotive exterior | 59.3 | |
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road | 59.3 | |
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family car | 54.1 | |
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public utility | 54 | |
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house | 51.2 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 45.3% | |
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paintings art | 20.6% | |
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streetview architecture | 19.1% | |
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beaches seaside | 8.4% | |
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text visuals | 3.5% | |
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interior objects | 1.6% | |
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Captions
Microsoft
created on 2018-05-10
a black and white photo of a truck | 92.7% | |
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an old photo of a truck | 92.6% | |
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old photo of a truck | 92.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43161587/217,114,44,16/full/0/native.jpg)
FIELD
![](https://ids.lib.harvard.edu/ids/iiif/43161587/653,182,38,10/full/0/native.jpg)
STORE
![](https://ids.lib.harvard.edu/ids/iiif/43161587/330,111,86,14/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/43161587/217,114,97,16/full/0/native.jpg)
FIELD SEEDS
![](https://ids.lib.harvard.edu/ids/iiif/43161587/266,114,48,15/full/0/native.jpg)
SEEDS
![](https://ids.lib.harvard.edu/ids/iiif/43161587/332,193,88,12/full/0/native.jpg)
TODD/HUDDLESION
![](https://ids.lib.harvard.edu/ids/iiif/43161587/582,180,109,13/full/0/native.jpg)
Singer DEPT STORE
![](https://ids.lib.harvard.edu/ids/iiif/43161587/619,181,32,12/full/0/native.jpg)
DEPT
![](https://ids.lib.harvard.edu/ids/iiif/43161587/582,182,35,10/full/0/native.jpg)
Singer
![](https://ids.lib.harvard.edu/ids/iiif/43161587/295,106,14,7/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/43161587/269,105,22,7/full/0/native.jpg)
adidas
![](https://ids.lib.harvard.edu/ids/iiif/43161587/222,102,87,10/full/0/native.jpg)
STROW adidas CO
![](https://ids.lib.harvard.edu/ids/iiif/43161587/222,102,41,10/full/0/native.jpg)
STROW
![](https://ids.lib.harvard.edu/ids/iiif/43161587/332,112,360,98/full/0/native.jpg)
FURNITURE
SDEPT STORE
ODD HUDDLE SION
![](https://ids.lib.harvard.edu/ids/iiif/43161587/332,112,89,18/full/0/native.jpg)
FURNITURE
![](https://ids.lib.harvard.edu/ids/iiif/43161587/577,182,71,16/full/0/native.jpg)
SDEPT
![](https://ids.lib.harvard.edu/ids/iiif/43161587/653,182,39,16/full/0/native.jpg)
STORE
![](https://ids.lib.harvard.edu/ids/iiif/43161587/336,195,25,15/full/0/native.jpg)
ODD
![](https://ids.lib.harvard.edu/ids/iiif/43161587/363,195,36,15/full/0/native.jpg)
HUDDLE
![](https://ids.lib.harvard.edu/ids/iiif/43161587/397,195,25,15/full/0/native.jpg)
SION