Machine Generated Data
Tags
Amazon
created on 2022-06-04
Architecture | 99.3 | |
| ||
Building | 99.3 | |
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Apse | 86.6 | |
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Arch | 72.2 | |
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Arched | 72.2 | |
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Pillar | 65.7 | |
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Column | 65.7 | |
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Interior Design | 55.3 | |
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Indoors | 55.3 | |
|
Imagga
created on 2022-06-04
building | 79.5 | |
| ||
architecture | 57.1 | |
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cinema | 51.6 | |
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theater | 42.5 | |
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structure | 39.8 | |
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city | 34.1 | |
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hall | 27 | |
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travel | 26.1 | |
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facade | 26 | |
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old | 25.8 | |
| ||
history | 24.2 | |
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palace | 24.1 | |
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house | 23.2 | |
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dome | 21.7 | |
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monument | 21.5 | |
| ||
exterior | 21.2 | |
| ||
landmark | 20.8 | |
| ||
church | 20.4 | |
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tourism | 19 | |
| ||
column | 18.3 | |
| ||
ancient | 18.2 | |
| ||
sky | 17.9 | |
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religion | 17 | |
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famous | 16.8 | |
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cathedral | 16.6 | |
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historic | 16.5 | |
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residence | 16.5 | |
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urban | 15.7 | |
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university | 15.1 | |
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station | 14.9 | |
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window | 14.4 | |
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culture | 13.7 | |
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stone | 13.5 | |
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capital | 13.3 | |
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town | 13 | |
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arch | 12.7 | |
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terminal | 12.4 | |
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statue | 11.4 | |
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place | 11.2 | |
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subway station | 11.1 | |
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street | 11 | |
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tourist | 10.9 | |
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wall | 10.6 | |
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columns | 9.8 | |
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office | 9.8 | |
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sculpture | 9.6 | |
| ||
religious | 9.4 | |
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dwelling | 9.3 | |
| ||
balcony | 9.2 | |
| ||
traditional | 9.2 | |
| ||
art | 9.1 | |
| ||
vintage | 9.1 | |
| ||
square | 9.1 | |
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new | 8.9 | |
| ||
detail | 8.9 | |
| ||
st | 8.7 | |
| ||
medieval | 8.6 | |
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brick | 8.5 | |
| ||
outdoor | 8.4 | |
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bank | 8.3 | |
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roof | 8.3 | |
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facility | 8.1 | |
| ||
marble | 7.9 | |
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grand | 7.8 | |
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architectural | 7.7 | |
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windows | 7.7 | |
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faith | 7.7 | |
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attraction | 7.6 | |
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historical | 7.5 | |
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landscape | 7.4 | |
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style | 7.4 | |
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tower | 7.2 | |
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night | 7.1 | |
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paper | 7.1 | |
|
Google
created on 2022-06-04
Microsoft
created on 2022-06-04
building | 99.3 | |
| ||
outdoor | 94.3 | |
| ||
black and white | 92.8 | |
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white | 82.2 | |
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text | 79.2 | |
| ||
monochrome | 78.2 | |
| ||
window | 77 | |
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black | 76.6 | |
| ||
city | 65.7 | |
|
Color Analysis
Categories
Imagga
streetview architecture | 51.3% | |
| ||
cars vehicles | 47% | |
| ||
paintings art | 1.2% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a large building | 93.5% | |
| ||
an old photo of a building | 93.4% | |
| ||
old photo of a building | 92.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489300/193,219,39,9/full/0/native.jpg)
PERFUMES
![](https://ids.lib.harvard.edu/ids/iiif/20489300/726,205,41,10/full/0/native.jpg)
COMPLETE
![](https://ids.lib.harvard.edu/ids/iiif/20489300/185,232,53,12/full/0/native.jpg)
PREPARATIONS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/161,197,50,14/full/0/native.jpg)
Larkin
![](https://ids.lib.harvard.edu/ids/iiif/20489300/353,300,105,16/full/0/native.jpg)
BATES
![](https://ids.lib.harvard.edu/ids/iiif/20489300/708,183,50,13/full/0/native.jpg)
Lackin
![](https://ids.lib.harvard.edu/ids/iiif/20489300/160,232,78,12/full/0/native.jpg)
TOILET PREPARATIONS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/479,298,23,14/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/20489300/160,233,23,10/full/0/native.jpg)
TOILET
![](https://ids.lib.harvard.edu/ids/iiif/20489300/247,294,388,26/full/0/native.jpg)
COBB BATES & YERYA
![](https://ids.lib.harvard.edu/ids/iiif/20489300/247,301,90,19/full/0/native.jpg)
COBB
![](https://ids.lib.harvard.edu/ids/iiif/20489300/164,218,68,10/full/0/native.jpg)
SOAPS PERFUMES
![](https://ids.lib.harvard.edu/ids/iiif/20489300/709,222,22,7/full/0/native.jpg)
HOME
![](https://ids.lib.harvard.edu/ids/iiif/20489300/708,183,75,13/full/0/native.jpg)
Lackin CO.
![](https://ids.lib.harvard.edu/ids/iiif/20489300/514,294,121,20/full/0/native.jpg)
YERYA
![](https://ids.lib.harvard.edu/ids/iiif/20489300/708,218,77,13/full/0/native.jpg)
HOME FUNNISHINGS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/164,218,24,10/full/0/native.jpg)
SOAPS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/733,218,52,12/full/0/native.jpg)
FUNNISHINGS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/762,186,21,10/full/0/native.jpg)
CO.
![](https://ids.lib.harvard.edu/ids/iiif/20489300/161,159,763,317/full/0/native.jpg)
Larkin co
SOAPS PERFUMES
TOILET PREPARATIONS
50000
COBB. BATE
MADURAN
23 PINK
Lackin co
COMPLETE
HOME FURNIST
DISTRUS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/163,199,51,15/full/0/native.jpg)
Larkin
![](https://ids.lib.harvard.edu/ids/iiif/20489300/214,200,21,13/full/0/native.jpg)
co
![](https://ids.lib.harvard.edu/ids/iiif/20489300/166,219,26,14/full/0/native.jpg)
SOAPS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/193,219,44,13/full/0/native.jpg)
PERFUMES
![](https://ids.lib.harvard.edu/ids/iiif/20489300/161,233,27,15/full/0/native.jpg)
TOILET
![](https://ids.lib.harvard.edu/ids/iiif/20489300/186,232,55,15/full/0/native.jpg)
PREPARATIONS
![](https://ids.lib.harvard.edu/ids/iiif/20489300/247,265,90,21/full/0/native.jpg)
50000
![](https://ids.lib.harvard.edu/ids/iiif/20489300/248,301,86,22/full/0/native.jpg)
COBB
![](https://ids.lib.harvard.edu/ids/iiif/20489300/334,301,9,20/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20489300/353,300,83,22/full/0/native.jpg)
BATE
![](https://ids.lib.harvard.edu/ids/iiif/20489300/244,449,57,12/full/0/native.jpg)
MADURAN
![](https://ids.lib.harvard.edu/ids/iiif/20489300/243,461,19,14/full/0/native.jpg)
23
![](https://ids.lib.harvard.edu/ids/iiif/20489300/268,461,29,14/full/0/native.jpg)
PINK
![](https://ids.lib.harvard.edu/ids/iiif/20489300/709,185,52,16/full/0/native.jpg)
Lackin
![](https://ids.lib.harvard.edu/ids/iiif/20489300/727,207,45,13/full/0/native.jpg)
COMPLETE
![](https://ids.lib.harvard.edu/ids/iiif/20489300/709,221,27,14/full/0/native.jpg)
HOME
![](https://ids.lib.harvard.edu/ids/iiif/20489300/734,221,35,13/full/0/native.jpg)
FURNIST
![](https://ids.lib.harvard.edu/ids/iiif/20489300/885,159,39,15/full/0/native.jpg)
DISTRUS