Machine Generated Data
Tags
Amazon
created on 2019-10-29
Clarifai
created on 2019-10-29
Imagga
created on 2019-10-29
prison | 69 | |
| ||
correctional institution | 50.7 | |
| ||
architecture | 43.2 | |
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cell | 41.3 | |
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penal institution | 38.1 | |
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balcony | 37.9 | |
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building | 36.6 | |
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old | 30.7 | |
| ||
door | 28 | |
| ||
structure | 27.6 | |
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window | 26.8 | |
| ||
institution | 25.3 | |
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wall | 25 | |
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house | 24.2 | |
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city | 20 | |
| ||
ancient | 19.9 | |
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stone | 19.4 | |
| ||
historic | 19.3 | |
| ||
interior | 17.7 | |
| ||
exterior | 17.5 | |
| ||
history | 17 | |
| ||
construction | 16.3 | |
| ||
travel | 16.2 | |
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historical | 15.1 | |
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tourism | 14.9 | |
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light | 14.7 | |
| ||
urban | 14 | |
| ||
home | 13.6 | |
| ||
gate | 13.5 | |
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palace | 13.5 | |
| ||
brick | 13.3 | |
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design | 12.9 | |
| ||
street | 12.9 | |
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anteroom | 12.7 | |
| ||
establishment | 12.7 | |
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room | 12.3 | |
| ||
town | 12.1 | |
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stairs | 12 | |
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religion | 11.7 | |
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entrance | 11.6 | |
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wood | 10.8 | |
| ||
arch | 10.7 | |
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windows | 10.6 | |
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apartment | 10.5 | |
| ||
residential | 10.5 | |
| ||
column | 10.4 | |
| ||
culture | 10.3 | |
| ||
floor | 10.2 | |
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screen | 10.1 | |
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hall | 10 | |
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tourist | 10 | |
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doors | 9.8 | |
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lamp | 9.5 | |
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monument | 9.3 | |
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church | 9.3 | |
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traditional | 9.2 | |
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landmark | 9 | |
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chair | 8.9 | |
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metal | 8.9 | |
| ||
furniture | 8.8 | |
| ||
wooden | 8.8 | |
| ||
antique | 8.7 | |
| ||
architectural | 8.7 | |
| ||
place | 8.4 | |
| ||
indoors | 7.9 | |
| ||
fire screen | 7.8 | |
| ||
luxury | 7.7 | |
| ||
estate | 7.6 | |
| ||
buildings | 7.6 | |
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railing | 7.4 | |
| ||
tile | 7.2 | |
|
Google
created on 2019-10-29
Door | 73.7 | |
| ||
Room | 71.4 | |
| ||
Architecture | 65.5 | |
| ||
Visual arts | 59.3 | |
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Tints and shades | 59.2 | |
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Vintage clothing | 54.7 | |
| ||
History | 54.1 | |
| ||
Gate | 54 | |
| ||
Window | 53.8 | |
| ||
Art | 50.2 | |
|
Color Analysis
Categories
Imagga
interior objects | 100% | |
|
Captions
Microsoft
created on 2019-10-29
a black and white photo of a building | 69.6% | |
| ||
a clock sitting in front of a building | 29% | |
| ||
a black and white photo of an old building | 28.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20407527/202,962,35,23/full/0/native.jpg)
69
![](https://ids.lib.harvard.edu/ids/iiif/20407527/82,967,37,21/full/0/native.jpg)
1/7
![](https://ids.lib.harvard.edu/ids/iiif/20407527/462,942,76,59/full/0/native.jpg)
fri
![](https://ids.lib.harvard.edu/ids/iiif/20407527/546,946,25,27/full/0/native.jpg)
T
![](https://ids.lib.harvard.edu/ids/iiif/20407527/75,943,87,23/full/0/native.jpg)
oloninl
![](https://ids.lib.harvard.edu/ids/iiif/20407527/247,958,25,22/full/0/native.jpg)
s
![](https://ids.lib.harvard.edu/ids/iiif/20407527/81,964,240,26/full/0/native.jpg)
1/7 Eoe 69 s rey
![](https://ids.lib.harvard.edu/ids/iiif/20407527/170,944,95,18/full/0/native.jpg)
Dopreene
![](https://ids.lib.harvard.edu/ids/iiif/20407527/75,942,227,23/full/0/native.jpg)
oloninl Dopreene o
![](https://ids.lib.harvard.edu/ids/iiif/20407527/459,942,201,61/full/0/native.jpg)
fri T Sapfla
![](https://ids.lib.harvard.edu/ids/iiif/20407527/280,944,22,16/full/0/native.jpg)
o
![](https://ids.lib.harvard.edu/ids/iiif/20407527/409,532,270,45/full/0/native.jpg)
oppdoloo
![](https://ids.lib.harvard.edu/ids/iiif/20407527/273,961,49,19/full/0/native.jpg)
rey
![](https://ids.lib.harvard.edu/ids/iiif/20407527/82,544,134,31/full/0/native.jpg)
tdedod
![](https://ids.lib.harvard.edu/ids/iiif/20407527/136,964,51,20/full/0/native.jpg)
Eoe
![](https://ids.lib.harvard.edu/ids/iiif/20407527/566,939,96,48/full/0/native.jpg)
Sapfla
![](https://ids.lib.harvard.edu/ids/iiif/20407527/79,536,352,434/full/0/native.jpg)
FOR
Colenial Drurd of
![](https://ids.lib.harvard.edu/ids/iiif/20407527/400,536,31,17/full/0/native.jpg)
FOR
![](https://ids.lib.harvard.edu/ids/iiif/20407527/79,945,88,25/full/0/native.jpg)
Colenial
![](https://ids.lib.harvard.edu/ids/iiif/20407527/174,944,96,25/full/0/native.jpg)
Drurd
![](https://ids.lib.harvard.edu/ids/iiif/20407527/280,943,27,25/full/0/native.jpg)
of