Machine Generated Data
Tags
Amazon
created on 2022-06-04
Railway | 97.5 | |
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Train Track | 97.5 | |
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Rail | 97.5 | |
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Transportation | 97.5 | |
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Train | 95.3 | |
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Vehicle | 95.3 | |
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Train Station | 94.4 | |
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Terminal | 94.4 | |
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Imagga
created on 2022-06-04
Google
created on 2022-06-04
Window | 92.3 | |
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Building | 92.1 | |
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Black | 89.6 | |
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Rolling stock | 81.6 | |
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Electricity | 81.3 | |
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Railway | 79.2 | |
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Tints and shades | 76.7 | |
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Rectangle | 76.5 | |
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Track | 73.9 | |
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Monochrome photography | 73 | |
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Monochrome | 72.8 | |
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Font | 71.1 | |
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Door | 68.1 | |
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Snow | 67.6 | |
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Picture frame | 63.1 | |
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Facade | 62.4 | |
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Fixture | 61.9 | |
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Train | 60.2 | |
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History | 58.7 | |
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House | 56.5 | |
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Microsoft
created on 2022-06-04
outdoor | 97 | |
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black and white | 94.4 | |
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white | 76.4 | |
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building | 76.3 | |
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monochrome | 67 | |
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text | 60.3 | |
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way | 60.3 | |
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sidewalk | 40.3 | |
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past | 26.8 | |
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railroad | 18.7 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488758/82,184,861,368/full/0/native.jpg)
Train | 95.3% | |
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Categories
Imagga
cars vehicles | 100% | |
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Captions
Microsoft
created on 2022-06-04
a train is parked on the side of a building | 76.3% | |
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a train sitting on the side of a building | 76.2% | |
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a train that is parked on the side of a building | 69.8% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488758/510,283,50,27/full/0/native.jpg)
5802
![](https://ids.lib.harvard.edu/ids/iiif/20488758/897,811,105,19/full/0/native.jpg)
32124
![](https://ids.lib.harvard.edu/ids/iiif/20488758/274,468,46,14/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/20488758/278,433,8,11/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/20488758/278,433,29,17/full/0/native.jpg)
5 for :
![](https://ids.lib.harvard.edu/ids/iiif/20488758/288,438,11,7/full/0/native.jpg)
for
![](https://ids.lib.harvard.edu/ids/iiif/20488758/298,454,23,8/full/0/native.jpg)
MIDAL
![](https://ids.lib.harvard.edu/ids/iiif/20488758/299,446,8,4/full/0/native.jpg)
:
![](https://ids.lib.harvard.edu/ids/iiif/20488758/294,463,7,4/full/0/native.jpg)
In
![](https://ids.lib.harvard.edu/ids/iiif/20488758/165,285,840,548/full/0/native.jpg)
5802
The EL
5
BANDY META
SAFETY
5802
32124
![](https://ids.lib.harvard.edu/ids/iiif/20488758/165,424,54,21/full/0/native.jpg)
5802
![](https://ids.lib.harvard.edu/ids/iiif/20488758/270,417,24,17/full/0/native.jpg)
The
![](https://ids.lib.harvard.edu/ids/iiif/20488758/293,417,25,17/full/0/native.jpg)
EL
![](https://ids.lib.harvard.edu/ids/iiif/20488758/278,434,15,15/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/20488758/276,455,26,11/full/0/native.jpg)
BANDY
![](https://ids.lib.harvard.edu/ids/iiif/20488758/299,455,23,11/full/0/native.jpg)
META
![](https://ids.lib.harvard.edu/ids/iiif/20488758/277,470,47,16/full/0/native.jpg)
SAFETY
![](https://ids.lib.harvard.edu/ids/iiif/20488758/901,814,104,19/full/0/native.jpg)
32124