Machine Generated Data
Tags
Amazon
created on 2022-06-04
Transportation | 98.3 | |
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Vehicle | 98.3 | |
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Train | 98.3 | |
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Meal | 97.7 | |
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Food | 97.7 | |
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Railway | 94.4 | |
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Train Track | 94.4 | |
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Rail | 94.4 | |
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Nature | 89.5 | |
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Outdoors | 88.1 | |
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Path | 75.2 | |
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Diner | 69.2 | |
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Restaurant | 69.2 | |
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Land | 57.3 | |
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Walkway | 55.5 | |
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Imagga
created on 2022-06-04
conveyance | 73 | |
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tramway | 72.9 | |
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streetcar | 53.8 | |
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wheeled vehicle | 46.9 | |
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building | 41.9 | |
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vehicle | 38.6 | |
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train | 32.9 | |
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architecture | 30.7 | |
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car | 27.2 | |
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transportation | 26.9 | |
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travel | 26.1 | |
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city | 25 | |
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structure | 24 | |
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urban | 23.6 | |
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passenger car | 23.3 | |
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station | 23.1 | |
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transport | 21.9 | |
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house | 21.7 | |
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street | 21.2 | |
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old | 19.5 | |
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railroad | 18.7 | |
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railway | 16.7 | |
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greenhouse | 16.2 | |
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rail | 15.7 | |
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road | 15.4 | |
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track | 15.1 | |
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sky | 14 | |
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town | 13.9 | |
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exterior | 12.9 | |
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historic | 12.8 | |
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window | 12.8 | |
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perspective | 11.3 | |
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wall | 11.3 | |
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transit | 10.8 | |
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brick | 10.4 | |
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industrial | 10 | |
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rails | 9.9 | |
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subway | 9.9 | |
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trees | 9.8 | |
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public | 9.7 | |
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metal | 9.7 | |
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home | 9.6 | |
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cold | 9.5 | |
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construction | 9.4 | |
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industry | 9.4 | |
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electric | 9.4 | |
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winter | 9.4 | |
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light | 9.4 | |
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snow | 9.2 | |
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tourism | 9.1 | |
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history | 9 | |
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tracks | 8.9 | |
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rural | 8.8 | |
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residential | 8.6 | |
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outdoor | 8.4 | |
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vintage | 8.3 | |
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park | 8.2 | |
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tourist | 8.2 | |
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new | 8.1 | |
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commute | 7.9 | |
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metro | 7.9 | |
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platform | 7.9 | |
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day | 7.9 | |
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scene | 7.8 | |
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line | 7.7 | |
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roof | 7.6 | |
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traffic | 7.6 | |
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estate | 7.6 | |
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journey | 7.5 | |
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landscape | 7.4 | |
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way | 7.4 | |
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speed | 7.3 | |
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door | 7.2 | |
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landmark | 7.2 | |
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summer | 7.1 | |
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steel | 7.1 | |
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Google
created on 2022-06-04
Window | 87 | |
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Rolling stock | 85.6 | |
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Railway | 81.5 | |
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Electricity | 80.9 | |
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Door | 79.4 | |
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Train | 79.1 | |
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Building | 78.4 | |
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Tints and shades | 77.1 | |
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Rectangle | 76.6 | |
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Track | 76.2 | |
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Public transport | 76.1 | |
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Railroad car | 75.6 | |
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Monochrome | 74.3 | |
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Passenger car | 73.9 | |
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Monochrome photography | 70.8 | |
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Rolling | 65.6 | |
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Facade | 62.8 | |
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Electrical supply | 59.4 | |
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Vehicle | 54.9 | |
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Snow | 53.4 | |
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Color Analysis
Feature analysis
Amazon
Train | 98.3% | |
|
Text analysis
Amazon
MARATHON
5436
REVERE
REVERE BEACH
GRIND
BEACH
TREADMILL
29033
TREADMILL STRENOOUS
STRENOOUS
SEACON ST
otp
ENTER FRONT
AFTERNOON&EVENIN
GRIND
&
MARATHON
5436
att
ENTER FRONT
STALINDOGS
TREADMILL
GRIND
AFTERNOON&EVENING
MARATHON
REVERE BEACH
54 36
29033
5436
att
ENTER
FRONT
STALINDOGS
TREADMILL
AFTERNOON
EVENING
REVERE
BEACH
54
36
29033