Machine Generated Data
Tags
Amazon
created on 2022-06-04
Railway | 92.9 | |
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Train Track | 92.9 | |
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Rail | 92.9 | |
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Transportation | 92.9 | |
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Nature | 81.2 | |
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Vehicle | 76.6 | |
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Outdoors | 74.1 | |
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Train | 69 | |
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Handrail | 66.3 | |
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Banister | 66.3 | |
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Winter | 62.5 | |
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Building | 62.1 | |
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Terminal | 61.9 | |
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Pedestrian | 60.7 | |
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Train Station | 60.6 | |
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Weather | 59.2 | |
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Architecture | 58.6 | |
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Snow | 57.9 | |
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Spire | 56.4 | |
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Tower | 56.4 | |
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Steeple | 56.4 | |
|
Imagga
created on 2022-06-04
Google
created on 2022-06-04
Building | 91.8 | |
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Naval architecture | 79.4 | |
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Parallel | 77 | |
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Rectangle | 76.4 | |
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Font | 76.1 | |
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City | 70.4 | |
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Monochrome | 70.3 | |
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Monochrome photography | 70.3 | |
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Road | 68.8 | |
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Bridge | 65.6 | |
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Urban design | 64.2 | |
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Facade | 63 | |
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Stock photography | 62.7 | |
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Art | 62.3 | |
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Symmetry | 61.8 | |
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Drawing | 61.3 | |
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Metal | 61.2 | |
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Illustration | 60.7 | |
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Slope | 59.2 | |
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Steel | 55.4 | |
|
Microsoft
created on 2022-06-04
text | 95 | |
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outdoor | 88 | |
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black and white | 87.9 | |
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building | 66 | |
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Color Analysis
Categories
Imagga
nature landscape | 61.1% | |
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paintings art | 15.7% | |
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cars vehicles | 15.1% | |
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text visuals | 4.7% | |
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streetview architecture | 1.8% | |
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Captions
Microsoft
created on 2022-06-04
a train on a steel track | 45.6% | |
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an old photo of a train | 45.5% | |
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a train is parked on the side of a building | 35.4% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488799/928,319,83,60/full/0/native.jpg)
EEMAN
![](https://ids.lib.harvard.edu/ids/iiif/20488799/938,321,22,15/full/0/native.jpg)
NEW
![](https://ids.lib.harvard.edu/ids/iiif/20488799/670,775,48,23/full/0/native.jpg)
July
![](https://ids.lib.harvard.edu/ids/iiif/20488799/938,403,80,64/full/0/native.jpg)
PEISIK
![](https://ids.lib.harvard.edu/ids/iiif/20488799/669,769,101,30/full/0/native.jpg)
July ده.وا
![](https://ids.lib.harvard.edu/ids/iiif/20488799/722,769,47,27/full/0/native.jpg)
ده.وا
![](https://ids.lib.harvard.edu/ids/iiif/20488799/257,778,25,21/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/20488799/286,778,151,23/full/0/native.jpg)
Bioform
![](https://ids.lib.harvard.edu/ids/iiif/20488799/464,779,35,21/full/0/native.jpg)
end
![](https://ids.lib.harvard.edu/ids/iiif/20488799/494,779,10,21/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20488799/789,326,23,15/full/0/native.jpg)
FIT
![](https://ids.lib.harvard.edu/ids/iiif/20488799/837,329,28,16/full/0/native.jpg)
EAR
![](https://ids.lib.harvard.edu/ids/iiif/20488799/934,324,78,56/full/0/native.jpg)
EEMAN
![](https://ids.lib.harvard.edu/ids/iiif/20488799/59,275,958,526/full/0/native.jpg)
udley St Sta. Pronkess on Bioform end.
1:20
FIT EAR
S
EEMAN
1440
PEISI
![](https://ids.lib.harvard.edu/ids/iiif/20488799/59,778,55,21/full/0/native.jpg)
udley
![](https://ids.lib.harvard.edu/ids/iiif/20488799/111,778,23,21/full/0/native.jpg)
St
![](https://ids.lib.harvard.edu/ids/iiif/20488799/130,778,37,21/full/0/native.jpg)
Sta
![](https://ids.lib.harvard.edu/ids/iiif/20488799/170,778,86,21/full/0/native.jpg)
Pronkess
![](https://ids.lib.harvard.edu/ids/iiif/20488799/819,276,31,17/full/0/native.jpg)
1:20
![](https://ids.lib.harvard.edu/ids/iiif/20488799/848,394,16,12/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/20488799/932,370,50,32/full/0/native.jpg)
1440
![](https://ids.lib.harvard.edu/ids/iiif/20488799/943,410,72,61/full/0/native.jpg)
PEISI