Machine Generated Data
Tags
Amazon
created on 2022-06-04
Person | 95.7 | |
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Human | 95.7 | |
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Person | 93.9 | |
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Person | 93.5 | |
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Person | 89.1 | |
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Person | 87.7 | |
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People | 75.5 | |
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Meal | 74.7 | |
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Food | 74.7 | |
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Transportation | 74.5 | |
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Vehicle | 73.1 | |
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Spoke | 71.2 | |
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Machine | 71.2 | |
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Flooring | 68.9 | |
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Road | 68.4 | |
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Path | 64.6 | |
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Intersection | 61.6 | |
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Floor | 61.4 | |
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Urban | 60.5 | |
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Train | 59.5 | |
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Tarmac | 59 | |
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Asphalt | 59 | |
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Building | 56.4 | |
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Wall | 56.1 | |
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Downtown | 55.3 | |
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City | 55.3 | |
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Town | 55.3 | |
|
Clarifai
created on 2025-01-10
railway | 99.8 | |
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train | 99.7 | |
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people | 99.4 | |
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transportation system | 99.3 | |
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group together | 98.7 | |
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locomotive | 98.6 | |
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vehicle | 97.9 | |
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no person | 97.3 | |
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many | 96.2 | |
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tram | 96 | |
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group | 93.6 | |
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track | 92.1 | |
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street | 89.9 | |
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subway system | 89.8 | |
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engine | 85 | |
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carriage | 84.4 | |
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monochrome | 84 | |
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train station | 83.7 | |
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adult | 81.3 | |
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light | 79.1 | |
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Imagga
created on 2022-06-04
tramway | 90.2 | |
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conveyance | 86.8 | |
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streetcar | 61.7 | |
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wheeled vehicle | 48.3 | |
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vehicle | 38.5 | |
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travel | 31.7 | |
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transportation | 29.6 | |
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city | 29.1 | |
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train | 27.5 | |
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station | 26.2 | |
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urban | 24.5 | |
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building | 23.4 | |
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architecture | 22.8 | |
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car | 22.4 | |
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transport | 21.9 | |
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street | 18.4 | |
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railway | 17.7 | |
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old | 17.4 | |
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rail | 14.7 | |
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sky | 14.7 | |
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town | 13.9 | |
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railroad | 13.8 | |
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passenger car | 13.4 | |
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light | 13.4 | |
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subway | 12.8 | |
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wagon | 12.8 | |
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river | 12.5 | |
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speed | 11.9 | |
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transit | 11.8 | |
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industrial | 11.8 | |
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public | 11.7 | |
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traffic | 11.4 | |
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journey | 11.3 | |
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boat | 11.2 | |
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industry | 11.1 | |
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metro | 10.9 | |
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road | 10.8 | |
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construction | 10.3 | |
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window | 10.1 | |
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house | 10 | |
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tourism | 9.9 | |
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platform | 9.8 | |
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night | 9.8 | |
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factory | 9.7 | |
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trip | 9.4 | |
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dark | 9.2 | |
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water | 8.7 | |
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ship | 8.7 | |
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track | 8.6 | |
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empty | 8.6 | |
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fast | 8.4 | |
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tourist | 8.2 | |
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steel | 8 | |
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ancient | 7.8 | |
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sunny | 7.8 | |
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structure | 7.7 | |
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port | 7.7 | |
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wall | 7.7 | |
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move | 7.7 | |
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cityscape | 7.6 | |
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buildings | 7.6 | |
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electric | 7.5 | |
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destination | 7.5 | |
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place | 7.5 | |
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vintage | 7.4 | |
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tunnel | 7.4 | |
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historic | 7.3 | |
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tower | 7.2 | |
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interior | 7.1 | |
|
Google
created on 2022-06-04
Building | 89.4 | |
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Black-and-white | 85.2 | |
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Electricity | 82.9 | |
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Gas | 77.9 | |
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City | 77 | |
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Monochrome | 76.7 | |
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Window | 76.1 | |
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Monochrome photography | 74.4 | |
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Facade | 73.9 | |
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Road | 72.6 | |
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Automotive lighting | 72.2 | |
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Midnight | 68.9 | |
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Plant | 68.4 | |
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Street | 67.3 | |
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Asphalt | 66.4 | |
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Bridge | 63.6 | |
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Railway | 63.6 | |
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Stock photography | 63.4 | |
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Public transport | 62.7 | |
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Town | 62.6 | |
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Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 99.9% | |
|
Captions
Microsoft
created on 2022-06-04
an old photo of a building | 88.3% | |
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an old photo of a city street | 84% | |
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an old photo of a street | 83.9% | |
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Text analysis
Amazon

ST.

ADMITTANCE

OFFICE

PRIVATE

RIDING

BICYCLE

WARREN

POSITIVELY

GROUN

VEHICLES

EIGLER ST.

ENTERING

ICKET OFFICE

EIGLER

19 WARREN ST

BICYCLE RIDING OF THE

CROSSING

19

ICKET

Dudley

THE

ST

OF

PRIVATE GROUN OS

POSITIVELY FORBIL DEN

DEN

on

BBBB

FORBIL

steelworkete

Dudley St:Station.progress on steelworkete

Framés

OS

D ADMITTANCE

ENTERING 10 CROSSING

ilter

St:Station.progress

Jan.l.a9

D

10

ADMITTANCE
ICKET OFFICE
ZEIGLER ST.
24
PRIVATE GROUNDS.
BICYCLE RIDING OF THE
ENTERING
CROSSING
VEHICLES
POSITIVELY FORBIC
Dudley St. Station progress on steelworkete
Jan.1.69
iter
Frames
19 WARREN ST
888 B

ADMITTANCE

ICKET

OFFICE

ZEIGLER

ST

.

24

PRIVATE

GROUNDS

BICYCLE

RIDING

OF

THE

ENTERING

CROSSING

VEHICLES

POSITIVELY

FORBIC

Dudley

St.

Station

progress

on

steelworkete

Jan.1.69

iter

Frames

19

WARREN

888

B