Machine Generated Data
Tags
Amazon
created on 2022-03-11
Clarifai
created on 2023-10-22
vehicle | 99.8 | |
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transportation system | 99.8 | |
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people | 99.8 | |
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train | 99.3 | |
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railway | 98.6 | |
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street | 96.7 | |
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engine | 95.8 | |
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driver | 95.8 | |
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monochrome | 95.8 | |
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wagon | 95.4 | |
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adult | 95 | |
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man | 94.9 | |
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bus | 93.4 | |
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car | 92.2 | |
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tram | 89.4 | |
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locomotive | 89 | |
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group together | 88.1 | |
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two | 88.1 | |
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group | 87 | |
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road | 86.4 | |
|
Imagga
created on 2022-03-11
car | 100 | |
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passenger car | 96.5 | |
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vehicle | 83.8 | |
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wheeled vehicle | 63.6 | |
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transportation | 54.7 | |
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conveyance | 51 | |
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transport | 41.1 | |
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bus | 40.2 | |
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road | 37.9 | |
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travel | 35.2 | |
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public transport | 31.7 | |
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truck | 29.6 | |
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shuttle bus | 27 | |
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school bus | 23.2 | |
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highway | 23.1 | |
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shuttle | 21.6 | |
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trailer | 21.2 | |
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speed | 21.1 | |
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drive | 20.8 | |
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traffic | 19.9 | |
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driving | 19.3 | |
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automobile | 18.2 | |
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street | 17.5 | |
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cargo | 17.4 | |
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industry | 17.1 | |
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shipping | 16.5 | |
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auto | 16.3 | |
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driver | 15.5 | |
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sky | 15.3 | |
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freight | 14.7 | |
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passenger | 14.2 | |
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train | 13.8 | |
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engine | 13.5 | |
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motion | 12.8 | |
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snow | 12.3 | |
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wheel | 12.3 | |
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fast | 12.1 | |
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winter | 11.9 | |
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old | 11.8 | |
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diesel | 11.8 | |
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container | 11.4 | |
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track | 11.2 | |
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color | 11.1 | |
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industrial | 10.9 | |
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railroad | 10.8 | |
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wheels | 10.7 | |
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outdoors | 10.4 | |
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business | 10.3 | |
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tourism | 9.9 | |
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vacation | 9.8 | |
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railway | 9.8 | |
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journey | 9.4 | |
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lorry | 9 | |
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cars | 8.8 | |
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station | 8.8 | |
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delivery | 8.7 | |
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public | 8.7 | |
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motor | 8.7 | |
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power | 8.4 | |
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locomotive | 8.3 | |
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trucking | 7.9 | |
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delivering | 7.9 | |
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urban | 7.9 | |
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high | 7.8 | |
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cold | 7.7 | |
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move | 7.7 | |
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weather | 7.7 | |
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heavy | 7.6 | |
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clouds | 7.6 | |
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trip | 7.5 | |
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fire | 7.5 | |
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city | 7.5 | |
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yellow | 7.3 | |
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tourist | 7.2 | |
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holiday | 7.2 | |
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grass | 7.1 | |
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mountain | 7.1 | |
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steel | 7.1 | |
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day | 7.1 | |
|
Google
created on 2022-03-11
Tire | 97.2 | |
| ||
Bus | 96.9 | |
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Wheel | 96.6 | |
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Vehicle | 95 | |
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Motor vehicle | 91.9 | |
| ||
Automotive tire | 89.9 | |
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Black | 89.6 | |
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Window | 83.5 | |
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Black-and-white | 82.2 | |
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Fender | 80.9 | |
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Tread | 79.3 | |
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Automotive wheel system | 78.5 | |
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Automotive exterior | 77 | |
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Commercial vehicle | 74.5 | |
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Public transport | 74.4 | |
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Monochrome | 73.1 | |
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Monochrome photography | 72.5 | |
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Tree | 71.1 | |
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Classic | 69.1 | |
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Auto part | 62.7 | |
|
Microsoft
created on 2022-03-11
outdoor | 99.7 | |
| ||
land vehicle | 97.9 | |
| ||
vehicle | 96.3 | |
| ||
wheel | 92.9 | |
| ||
bus | 92.1 | |
| ||
transport | 89.8 | |
| ||
black and white | 88.5 | |
| ||
street | 80.7 | |
| ||
text | 76.6 | |
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parked | 68.6 | |
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monochrome | 50.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 43-51 |
Gender | Male, 99.9% |
Calm | 76.5% |
Sad | 11.2% |
Disgusted | 5.5% |
Angry | 2.2% |
Happy | 1.8% |
Confused | 1.4% |
Surprised | 0.7% |
Fear | 0.7% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 100% | |
|
Captions
Microsoft
created on 2022-03-11
a man standing in front of a bus | 94.7% | |
| ||
a man standing next to a bus | 94.6% | |
| ||
a man that is standing in front of a bus | 92% | |
|
Text analysis
Amazon

SYSTEM

Unit

Telemobile

TELEVISION SYSTEM

Engineering

Department

NATIONAL

TELEVISION

No.

YORK

CITY

NATIONAL BROADCASTING

BROADCASTING

2

RADIO CITY

Engineering Department Telemobile Unit No. lb

RADIO

lb

INC.

EN YORK

:

1

EN

TELEVISION SYSTEM
RATIONAL BROADCASTINGP
NG.
Engineering Department Telemobile Unit No.1b
RADO CTY
E YORK

TELEVISION

SYSTEM

RATIONAL

BROADCASTINGP

NG.

Engineering

Department

Telemobile

Unit

No.1b

RADO

CTY

E

YORK