Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clarifai
created on 2019-11-16
people | 99.4 | |
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transportation system | 99.1 | |
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vehicle | 97 | |
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street | 96.4 | |
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adult | 96.1 | |
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car | 93.6 | |
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train | 92.1 | |
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monochrome | 90.5 | |
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group together | 90.4 | |
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road | 90.2 | |
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stock | 89.2 | |
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one | 87.9 | |
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cable car | 87.7 | |
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group | 86.9 | |
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tram | 86.8 | |
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railway | 86.5 | |
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horizontal plane | 83.6 | |
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bus | 80.2 | |
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administration | 79.2 | |
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man | 77.9 | |
|
Imagga
created on 2019-11-16
public transport | 81.5 | |
| ||
shuttle bus | 68.7 | |
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bus | 67.1 | |
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conveyance | 57.8 | |
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shuttle | 54.8 | |
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trolleybus | 49.7 | |
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vehicle | 36.4 | |
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transportation | 34.1 | |
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car | 32.6 | |
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street | 30.4 | |
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road | 28 | |
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motor vehicle | 27.8 | |
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amphibian | 27.6 | |
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travel | 27.5 | |
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city | 27.4 | |
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transport | 27.4 | |
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architecture | 19.5 | |
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wheeled vehicle | 18.5 | |
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urban | 18.4 | |
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traffic | 16.2 | |
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drive | 16.1 | |
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building | 16 | |
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truck | 14.1 | |
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sky | 14 | |
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automobile | 13.4 | |
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old | 13.2 | |
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driving | 11.6 | |
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highway | 11.6 | |
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engine | 11.5 | |
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school bus | 11.5 | |
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auto | 11.5 | |
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fire | 10.3 | |
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day | 10.2 | |
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station | 10.1 | |
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light | 10 | |
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public | 9.7 | |
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buildings | 9.5 | |
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motion | 9.4 | |
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passenger | 9.3 | |
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town | 9.3 | |
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house | 9.2 | |
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speed | 9.2 | |
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tourism | 9.1 | |
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tourist | 9.1 | |
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landmark | 9 | |
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vacation | 9 | |
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night | 8.9 | |
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cars | 8.8 | |
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train | 8.7 | |
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tramway | 8.7 | |
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emergency | 8.7 | |
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lights | 8.3 | |
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window | 8.2 | |
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history | 8.1 | |
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yellow | 8 | |
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track | 7.7 | |
| ||
trip | 7.5 | |
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exterior | 7.4 | |
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people | 7.3 | |
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color | 7.2 | |
|
Google
created on 2019-11-16
Transport | 93.1 | |
| ||
Mode of transport | 91.5 | |
| ||
Motor vehicle | 90.1 | |
| ||
Bus | 81.9 | |
| ||
Vehicle | 80.3 | |
| ||
Black-and-white | 74.4 | |
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Monochrome | 72.4 | |
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Double-decker bus | 70 | |
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Photography | 67.8 | |
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Architecture | 65.5 | |
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Car | 57.8 | |
|
Microsoft
created on 2019-11-16
text | 99 | |
| ||
vehicle | 95.6 | |
| ||
land vehicle | 95.5 | |
| ||
wheel | 77.8 | |
| ||
bus | 39.1 | |
|
Color Analysis
Feature analysis
Text analysis
Amazon
BERLINER
Die
meisten
Abonnenten
S
Die meisten Abonnenten BERLINER M
STANDAR
RAUICT
BAA
M
BAN
TANDAR
Die meisten Abonnenten
BERLINER
4
n
ERUN RAUCHT JUN
OSETTI
BAN
TANDAR
Die
meisten
Abonnenten
BERLINER
4
n
ERUN
RAUCHT
JUN
OSETTI