Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
city | 36.6 | |
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architecture | 33.6 | |
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building | 30 | |
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urban | 22.7 | |
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travel | 21.1 | |
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sky | 19.1 | |
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house | 18.6 | |
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station | 18.1 | |
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structure | 15.9 | |
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street | 15.6 | |
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landmark | 15.4 | |
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tower | 15.2 | |
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town | 14.8 | |
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tramway | 14.5 | |
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conveyance | 13.8 | |
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facade | 13.5 | |
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old | 13.2 | |
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office | 12.5 | |
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tourism | 12.4 | |
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cityscape | 12.3 | |
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river | 11.6 | |
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capital | 11.4 | |
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center | 11.3 | |
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wheeled vehicle | 11.2 | |
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industry | 11.1 | |
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palace | 11 | |
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power | 10.9 | |
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industrial | 10.9 | |
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transportation | 10.8 | |
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car | 10.4 | |
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famous | 10.2 | |
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night | 9.8 | |
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district | 9.7 | |
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landscape | 9.7 | |
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warehouse | 9.7 | |
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snow | 9.7 | |
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train | 9.6 | |
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supermarket | 9.5 | |
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winter | 9.4 | |
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pollution | 8.7 | |
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construction | 8.6 | |
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buildings | 8.5 | |
| ||
electricity | 8.5 | |
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lights | 8.4 | |
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exterior | 8.3 | |
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ship | 8.3 | |
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tourist | 8.2 | |
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square | 8.1 | |
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vehicle | 8 | |
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business | 7.9 | |
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weather | 7.9 | |
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ancient | 7.8 | |
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cold | 7.8 | |
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houses | 7.7 | |
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grocery store | 7.7 | |
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skyline | 7.6 | |
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bridge | 7.6 | |
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historical | 7.5 | |
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church | 7.4 | |
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historic | 7.3 | |
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facility | 7.3 | |
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transport | 7.3 | |
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new | 7.3 | |
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road | 7.2 | |
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equipment | 7.2 | |
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history | 7.2 | |
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steel | 7.1 | |
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billboard | 7 | |
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modern | 7 | |
|
Google
created on 2022-06-04
White | 92.2 | |
| ||
Building | 91.8 | |
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Black | 89.6 | |
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Black-and-white | 85.4 | |
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Style | 83.8 | |
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Line | 81.7 | |
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Facade | 78.2 | |
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Electricity | 77.7 | |
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Font | 75.7 | |
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City | 75.7 | |
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Monochrome photography | 73.5 | |
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Monochrome | 72.3 | |
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Street | 72.1 | |
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Mixed-use | 69.9 | |
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Vehicle | 66 | |
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Machine | 63.4 | |
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Night | 61.2 | |
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Symmetry | 59.3 | |
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Naval architecture | 54.8 | |
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Window | 52.5 | |
|
Microsoft
created on 2022-06-04
road | 97 | |
| ||
black and white | 95.2 | |
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text | 91.4 | |
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outdoor | 85.1 | |
| ||
white | 79.6 | |
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vehicle | 76.1 | |
| ||
black | 73.6 | |
| ||
monochrome | 67.6 | |
|
Color Analysis
Feature analysis
Amazon
Train | 83.6% | |
|
Text analysis
Amazon
Lager
RESTAUR
Pool
AND
RESTAUR NT
NT
Stock
ALE
RANT
GE
In
GE MA
MA
Pfaffs
Stocks
R.S.
Alleys In ia Stocks
Billiaras
ia
Alleys
A
Inelia Stock
RESTITE RANT
E
Milley's
ะก
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Pfall
Inelia
AAT
RESTITE
plaffs
Zermann
RS.
GE MA RESTAUR NT
Pfaffs
Lager
Alleys East In ia Stock C
www
Germania
RESTAURANT
ALE
Salley's
India Stock
ALE
Billiards
Pool
AND
Jil
Love
PANE
RS
.
GE
MA
RESTAUR
NT
Pfaffs
Lager
Alleys
East
In
ia
Stock
C
www
Germania
RESTAURANT
ALE
Salley's
India
Billiards
Pool
AND
Jil
Love
PANE