Machine Generated Data
Tags
Amazon
created on 2022-06-04
Building | 91.6 | |
| ||
Art | 69.9 | |
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Construction | 64.6 | |
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Hangar | 57.2 | |
|
Imagga
created on 2022-06-04
Google
created on 2022-06-04
Building | 80 | |
| ||
Electricity | 77.6 | |
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Monochrome | 73.7 | |
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Monochrome photography | 72.9 | |
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Engineering | 72.7 | |
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Metal | 69.8 | |
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Composite material | 69.5 | |
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Facade | 67.7 | |
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Art | 67 | |
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Event | 66.5 | |
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Concrete | 66.1 | |
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Steel | 64.4 | |
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Rectangle | 62.3 | |
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Illustration | 54.4 | |
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Industry | 53.1 | |
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Stairs | 52.5 | |
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Construction | 51.6 | |
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Transport | 51.5 | |
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Drawing | 51 | |
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Cement | 51 | |
|
Microsoft
created on 2022-06-04
black and white | 97.2 | |
| ||
factory | 92.3 | |
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abandoned | 87.9 | |
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drawing | 87.2 | |
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construction | 81.1 | |
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industry | 77.3 | |
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white | 77.3 | |
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old | 69.3 | |
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sketch | 67.5 | |
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demolition | 57.4 | |
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building | 52 | |
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railroad | 20.2 | |
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Color Analysis
Categories
Imagga
paintings art | 61% | |
| ||
streetview architecture | 31.8% | |
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text visuals | 5.9% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a building | 83.4% | |
| ||
an old photo of a large building | 79.3% | |
| ||
old photo of a building | 79.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488807/892,795,44,20/full/0/native.jpg)
764
![](https://ids.lib.harvard.edu/ids/iiif/20488807/53,792,68,23/full/0/native.jpg)
Dudley
![](https://ids.lib.harvard.edu/ids/iiif/20488807/640,798,45,16/full/0/native.jpg)
Nov.
![](https://ids.lib.harvard.edu/ids/iiif/20488807/288,790,77,29/full/0/native.jpg)
changes
![](https://ids.lib.harvard.edu/ids/iiif/20488807/928,4,68,25/full/0/native.jpg)
764B
![](https://ids.lib.harvard.edu/ids/iiif/20488807/640,796,109,20/full/0/native.jpg)
Nov. 29.09
![](https://ids.lib.harvard.edu/ids/iiif/20488807/232,787,53,28/full/0/native.jpg)
Steel
![](https://ids.lib.harvard.edu/ids/iiif/20488807/892,795,64,21/full/0/native.jpg)
764 B
![](https://ids.lib.harvard.edu/ids/iiif/20488807/684,796,65,20/full/0/native.jpg)
29.09
![](https://ids.lib.harvard.edu/ids/iiif/20488807/935,799,20,15/full/0/native.jpg)
B
![](https://ids.lib.harvard.edu/ids/iiif/20488807/53,777,423,48/full/0/native.jpg)
Dudley St.Station Steel changes a Wosh St.
![](https://ids.lib.harvard.edu/ids/iiif/20488807/119,789,106,28/full/0/native.jpg)
St.Station
![](https://ids.lib.harvard.edu/ids/iiif/20488807/356,777,120,48/full/0/native.jpg)
a Wosh St.
![](https://ids.lib.harvard.edu/ids/iiif/20488807/54,4,946,818/full/0/native.jpg)
VINCEN
Dudley St Station Steel changes of Wa
Wash St.
Nov. 29.09
764B
764 B
![](https://ids.lib.harvard.edu/ids/iiif/20488807/198,548,187,39/full/0/native.jpg)
VINCEN
![](https://ids.lib.harvard.edu/ids/iiif/20488807/55,792,69,25/full/0/native.jpg)
Dudley
![](https://ids.lib.harvard.edu/ids/iiif/20488807/123,792,27,25/full/0/native.jpg)
St
![](https://ids.lib.harvard.edu/ids/iiif/20488807/145,792,74,25/full/0/native.jpg)
Station
![](https://ids.lib.harvard.edu/ids/iiif/20488807/235,793,54,25/full/0/native.jpg)
Steel
![](https://ids.lib.harvard.edu/ids/iiif/20488807/291,793,75,25/full/0/native.jpg)
changes
![](https://ids.lib.harvard.edu/ids/iiif/20488807/367,794,25,25/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20488807/388,794,38,25/full/0/native.jpg)
Wa
![](https://ids.lib.harvard.edu/ids/iiif/20488807/387,789,62,26/full/0/native.jpg)
Wash
![](https://ids.lib.harvard.edu/ids/iiif/20488807/445,789,34,26/full/0/native.jpg)
St.
![](https://ids.lib.harvard.edu/ids/iiif/20488807/643,802,47,17/full/0/native.jpg)
Nov.
![](https://ids.lib.harvard.edu/ids/iiif/20488807/690,802,63,17/full/0/native.jpg)
29.09
![](https://ids.lib.harvard.edu/ids/iiif/20488807/929,4,71,24/full/0/native.jpg)
764B
![](https://ids.lib.harvard.edu/ids/iiif/20488807/895,798,43,20/full/0/native.jpg)
764
![](https://ids.lib.harvard.edu/ids/iiif/20488807/937,801,21,18/full/0/native.jpg)
B