Machine Generated Data
Tags
Amazon
created on 2023-10-06
Railway | 98.3 | |
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Transportation | 98.3 | |
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Train | 89.4 | |
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Vehicle | 89.4 | |
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Train | 81.7 | |
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Shipping Container | 79.8 | |
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Freight Car | 67.7 | |
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Person | 64.4 | |
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Terminal | 57.1 | |
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Train Station | 55.9 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
Google
created on 2018-05-10
black and white | 92.6 | |
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monochrome photography | 82.9 | |
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monochrome | 74.5 | |
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line | 69.5 | |
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sky | 64.9 | |
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angle | 54.6 | |
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steel | 54.3 | |
|
Microsoft
created on 2018-05-10
outdoor | 85.4 | |
|
Color Analysis
Feature analysis
Categories
Imagga
beaches seaside | 90.1% | |
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cars vehicles | 7.9% | |
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streetview architecture | 1.4% | |
|
Captions
Microsoft
created on 2018-05-10
a close up of a window | 72.9% | |
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a black and white photo of a city | 66% | |
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a bench in front of a window | 45.7% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43162880/877,433,12,13/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/43162880/842,437,14,13/full/0/native.jpg)
N
![](https://ids.lib.harvard.edu/ids/iiif/43162880/840,426,86,26/full/0/native.jpg)
N & W
![](https://ids.lib.harvard.edu/ids/iiif/43162880/911,428,13,12/full/0/native.jpg)
W
![](https://ids.lib.harvard.edu/ids/iiif/43162880/681,268,29,9/full/0/native.jpg)
N&W
![](https://ids.lib.harvard.edu/ids/iiif/43162880/107,302,28,8/full/0/native.jpg)
N&
![](https://ids.lib.harvard.edu/ids/iiif/43162880/910,416,17,7/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/43162880/107,302,37,8/full/0/native.jpg)
N& -
![](https://ids.lib.harvard.edu/ids/iiif/43162880/448,284,4,4/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/43162880/561,274,28,8/full/0/native.jpg)
N&K
![](https://ids.lib.harvard.edu/ids/iiif/43162880/135,303,9,4/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/43162880/790,442,19,11/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/43162880/879,420,11,7/full/0/native.jpg)
NYW