Machine Generated Data
Tags
Amazon
created on 2019-06-01
Building | 83.6 | |
| ||
Nature | 78.4 | |
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Diagram | 76.9 | |
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Plan | 76.9 | |
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Plot | 76.9 | |
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Office Building | 70.5 | |
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Urban | 69 | |
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Home Decor | 68.4 | |
| ||
Outdoors | 66.5 | |
| ||
Architecture | 65.7 | |
| ||
Housing | 59.8 | |
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Town | 59.5 | |
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City | 59.5 | |
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Neighborhood | 58.2 | |
|
Clarifai
created on 2019-06-01
house | 99.4 | |
| ||
architecture | 98.9 | |
| ||
family | 98.1 | |
| ||
building | 97 | |
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door | 96.6 | |
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window | 95.9 | |
| ||
modern | 95.9 | |
| ||
estate | 94.7 | |
| ||
apartment | 94 | |
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wall | 93.6 | |
| ||
room | 92.4 | |
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no person | 92.1 | |
| ||
expression | 92 | |
| ||
home | 91.6 | |
| ||
entrance | 89.9 | |
| ||
contemporary | 89.9 | |
| ||
city | 89.8 | |
| ||
real | 89.7 | |
| ||
residential | 89.4 | |
| ||
facade | 89.1 | |
|
Imagga
created on 2019-06-01
Google
created on 2019-06-01
White | 95.5 | |
| ||
Architecture | 86.5 | |
| ||
House | 85.1 | |
| ||
Building | 81.1 | |
| ||
Home | 76.1 | |
| ||
Black-and-white | 68.3 | |
| ||
Photography | 62.4 | |
| ||
Illustration | 60.2 | |
| ||
Facade | 59.4 | |
| ||
History | 57.6 | |
| ||
Sketch | 55.9 | |
| ||
Monochrome | 54.4 | |
|
Color Analysis
Categories
Imagga
interior objects | 86.8% | |
| ||
streetview architecture | 11.9% | |
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paintings art | 1.2% | |
|
Captions
Microsoft
created on 2019-06-01
a black and white photo of a building | 89.5% | |
| ||
a black and white photo of a street | 80.1% | |
| ||
a black and white photo of an old building | 80% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18759606/622,675,73,20/full/0/native.jpg)
REPAIRED
![](https://ids.lib.harvard.edu/ids/iiif/18759606/551,673,69,17/full/0/native.jpg)
FENDERS
![](https://ids.lib.harvard.edu/ids/iiif/18759606/444,665,37,16/full/0/native.jpg)
AUTO
![](https://ids.lib.harvard.edu/ids/iiif/18759606/484,668,47,17/full/0/native.jpg)
BODIES
![](https://ids.lib.harvard.edu/ids/iiif/18759606/475,647,178,24/full/0/native.jpg)
H.J.LAWSON
![](https://ids.lib.harvard.edu/ids/iiif/18759606/534,674,17,9/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/18759606/291,617,131,35/full/0/native.jpg)
LAWSON
![](https://ids.lib.harvard.edu/ids/iiif/18759606/140,649,554,23/full/0/native.jpg)
SOPPERIR A0RNICE WoRK AUTO BODIES AND FENDERS REPAIRED
![](https://ids.lib.harvard.edu/ids/iiif/18759606/141,650,76,15/full/0/native.jpg)
SOPPERIR
![](https://ids.lib.harvard.edu/ids/iiif/18759606/128,608,293,37/full/0/native.jpg)
YUPRN LAWSON
![](https://ids.lib.harvard.edu/ids/iiif/18759606/275,445,39,24/full/0/native.jpg)
M
![](https://ids.lib.harvard.edu/ids/iiif/18759606/217,447,96,24/full/0/native.jpg)
tttt M
![](https://ids.lib.harvard.edu/ids/iiif/18759606/369,663,43,21/full/0/native.jpg)
WoRK
![](https://ids.lib.harvard.edu/ids/iiif/18759606/123,295,282,29/full/0/native.jpg)
Frrerrrorrrrcc
![](https://ids.lib.harvard.edu/ids/iiif/18759606/130,612,79,26/full/0/native.jpg)
YUPRN
![](https://ids.lib.harvard.edu/ids/iiif/18759606/307,664,59,17/full/0/native.jpg)
A0RNICE
![](https://ids.lib.harvard.edu/ids/iiif/18759606/218,451,53,17/full/0/native.jpg)
tttt
![](https://ids.lib.harvard.edu/ids/iiif/18759606/449,652,250,48/full/0/native.jpg)
H.J. LAWSON
AUTO BODIES AMD FENDERS REPAIRED
![](https://ids.lib.harvard.edu/ids/iiif/18759606/479,652,47,25/full/0/native.jpg)
H.J.
![](https://ids.lib.harvard.edu/ids/iiif/18759606/528,654,126,28/full/0/native.jpg)
LAWSON
![](https://ids.lib.harvard.edu/ids/iiif/18759606/449,669,37,17/full/0/native.jpg)
AUTO
![](https://ids.lib.harvard.edu/ids/iiif/18759606/480,670,58,19/full/0/native.jpg)
BODIES
![](https://ids.lib.harvard.edu/ids/iiif/18759606/534,673,21,17/full/0/native.jpg)
AMD
![](https://ids.lib.harvard.edu/ids/iiif/18759606/554,675,71,20/full/0/native.jpg)
FENDERS
![](https://ids.lib.harvard.edu/ids/iiif/18759606/624,679,75,21/full/0/native.jpg)
REPAIRED