Machine Generated Data
Tags
Amazon
created on 2022-06-04
Building | 87.6 | |
| ||
Office Building | 82 | |
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Urban | 81.6 | |
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Town | 79.9 | |
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City | 79.9 | |
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Architecture | 79.9 | |
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Nature | 77.3 | |
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Spire | 76.2 | |
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Steeple | 76.2 | |
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Tower | 76.2 | |
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Outdoors | 72.4 | |
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Downtown | 69.7 | |
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Transportation | 65.4 | |
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Vehicle | 64.8 | |
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Handrail | 61.9 | |
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Banister | 61.9 | |
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Neighborhood | 59.8 | |
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Tarmac | 58.4 | |
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Asphalt | 58.4 | |
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Clothing | 58.4 | |
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Apparel | 58.4 | |
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Housing | 57.9 | |
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High Rise | 56.6 | |
|
Imagga
created on 2022-06-04
Google
created on 2022-06-04
Building | 96.9 | |
| ||
Window | 93.6 | |
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Rectangle | 87.6 | |
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Font | 82.2 | |
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Urban design | 81.1 | |
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House | 80.3 | |
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Facade | 78.2 | |
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City | 76.6 | |
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Condominium | 76 | |
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Mixed-use | 72 | |
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Monochrome | 71.6 | |
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Wheel | 71.1 | |
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Tower block | 69.4 | |
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Apartment | 69 | |
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Room | 65.6 | |
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History | 65.2 | |
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Paper product | 62.1 | |
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Commercial building | 61.9 | |
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Tire | 61.1 | |
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Monochrome photography | 57.4 | |
|
Microsoft
created on 2022-06-04
black and white | 98.1 | |
| ||
text | 97.6 | |
| ||
building | 91.2 | |
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window | 87.9 | |
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outdoor | 87.7 | |
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city | 84.9 | |
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monochrome | 74.7 | |
| ||
house | 62.7 | |
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street | 60.4 | |
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Color Analysis
Categories
Imagga
streetview architecture | 97% | |
| ||
interior objects | 1.6% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a building | 83.6% | |
| ||
a store inside of a building | 83.5% | |
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a store in a brick building | 80% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488720/30,1001,62,19/full/0/native.jpg)
A-46
![](https://ids.lib.harvard.edu/ids/iiif/20488720/722,1001,45,22/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/20488720/66,666,35,8/full/0/native.jpg)
VICTROLAS
![](https://ids.lib.harvard.edu/ids/iiif/20488720/722,995,119,30/full/0/native.jpg)
MAY RB'RO,
![](https://ids.lib.harvard.edu/ids/iiif/20488720/63,666,38,15/full/0/native.jpg)
VICTING VICTROLAS
![](https://ids.lib.harvard.edu/ids/iiif/20488720/773,997,68,26/full/0/native.jpg)
RB'RO,
![](https://ids.lib.harvard.edu/ids/iiif/20488720/81,675,23,6/full/0/native.jpg)
РОССИИ
![](https://ids.lib.harvard.edu/ids/iiif/20488720/63,675,17,6/full/0/native.jpg)
VICTING
![](https://ids.lib.harvard.edu/ids/iiif/20488720/29,169,815,862/full/0/native.jpg)
TEL
VICIRCOAS
A-46
VICTORAS
ww
Cm
MAY 28, 20
![](https://ids.lib.harvard.edu/ids/iiif/20488720/30,708,25,63/full/0/native.jpg)
TEL
![](https://ids.lib.harvard.edu/ids/iiif/20488720/68,665,37,13/full/0/native.jpg)
VICIRCOAS
![](https://ids.lib.harvard.edu/ids/iiif/20488720/33,1004,18,21/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/20488720/50,1004,12,21/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20488720/59,1004,38,21/full/0/native.jpg)
46
![](https://ids.lib.harvard.edu/ids/iiif/20488720/182,669,35,8/full/0/native.jpg)
VICTORAS
![](https://ids.lib.harvard.edu/ids/iiif/20488720/177,678,23,9/full/0/native.jpg)
ww
![](https://ids.lib.harvard.edu/ids/iiif/20488720/312,170,22,28/full/0/native.jpg)
Cm
![](https://ids.lib.harvard.edu/ids/iiif/20488720/725,997,45,34/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/20488720/777,997,33,33/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/20488720/807,997,13,32/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20488720/814,997,30,32/full/0/native.jpg)
20