Machine Generated Data
Tags
Amazon
created on 2022-01-15
Imagga
created on 2022-01-15
cockpit | 82.5 | |
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technology | 36.3 | |
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metal | 28.1 | |
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control panel | 27.6 | |
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equipment | 27.1 | |
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engine | 26 | |
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machine | 23.4 | |
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transportation | 23.3 | |
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vehicle | 22.7 | |
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industry | 22.2 | |
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power | 21.8 | |
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device | 19.9 | |
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part | 19.6 | |
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mechanical | 18.5 | |
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auto | 17.2 | |
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digital | 17 | |
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chrome | 16 | |
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motor | 15.6 | |
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speed | 14.6 | |
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mechanic | 14.6 | |
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industrial | 14.5 | |
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fuel | 14.4 | |
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computer | 14.4 | |
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steel | 14.1 | |
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electronic | 14 | |
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automobile | 13.4 | |
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car | 13.4 | |
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science | 13.3 | |
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wheel | 13.2 | |
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valve | 12.9 | |
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transport | 12.8 | |
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diesel | 12.4 | |
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effects | 12.3 | |
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three dimensional | 12.1 | |
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3d | 11.6 | |
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seat | 11.6 | |
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fast | 11.2 | |
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graphics | 11.1 | |
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truck | 10.7 | |
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business | 10.3 | |
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black | 10.2 | |
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metallic | 10.1 | |
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safety | 10.1 | |
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music | 9.9 | |
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retro | 9.8 | |
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automotive | 9.8 | |
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parts | 9.8 | |
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medical | 9.7 | |
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engineering | 9.5 | |
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clean | 9.2 | |
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modern | 9.1 | |
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new | 8.9 | |
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interior | 8.8 | |
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factory | 8.7 | |
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support | 8.7 | |
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sound | 8.4 | |
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old | 8.4 | |
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light | 8 | |
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polished | 7.9 | |
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display | 7.7 | |
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expensive | 7.7 | |
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texture | 7.6 | |
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iron | 7.5 | |
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gear | 7.4 | |
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inside | 7.4 | |
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design | 7.3 | |
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futuristic | 7.2 | |
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transparent | 7.2 | |
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bright | 7.1 | |
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shiny | 7.1 | |
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work | 7.1 | |
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control | 7 | |
|
Google
created on 2022-01-15
Black | 89.7 | |
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Vehicle | 86.8 | |
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Motor vehicle | 86.4 | |
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Font | 76.8 | |
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Rolling stock | 76.4 | |
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Art | 75.6 | |
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Automotive tire | 75.5 | |
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Rolling | 74.9 | |
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Machine | 73.9 | |
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Classic | 73.3 | |
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Rectangle | 73 | |
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Locomotive | 72.8 | |
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Train | 70.3 | |
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Automotive design | 69.7 | |
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Monochrome | 69 | |
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Automotive wheel system | 68.5 | |
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Metal | 67.3 | |
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Auto part | 66.4 | |
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Monochrome photography | 66.4 | |
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Stock photography | 64.1 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 16-22 |
Gender | Female, 92.2% |
Calm | 87.1% |
Fear | 4.5% |
Disgusted | 2.6% |
Angry | 2.3% |
Happy | 1% |
Sad | 1% |
Surprised | 0.8% |
Confused | 0.6% |

AWS Rekognition
Age | 28-38 |
Gender | Female, 97.2% |
Calm | 89.4% |
Happy | 5.6% |
Sad | 2.6% |
Confused | 1.7% |
Surprised | 0.2% |
Fear | 0.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Feature analysis
Amazon





Person | 97.3% | |
|
Captions
Microsoft
graphical user interface | 18.6% | |
|
Text analysis
Amazon

32388

UMBRELLAS

KIS

BOTTL

RETURN

= KIS

RENT

-

GRANGE -

GRANGE

TUBES-CHAIRS

2E

plea

=

BEACH 80

KODAE

CHAIRS

TUBES

UMBRELLAS

32388

KIS
RENT
TUBES CHAIRS
UMBRELLAS
32388
YT3RA2-AO

YT3RA2-AO

KIS

RENT