Machine Generated Data
Tags
Amazon
created on 2023-10-06
Boy | 99 | |
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Male | 99 | |
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Person | 99 | |
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Teen | 99 | |
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Boy | 98.7 | |
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Male | 98.7 | |
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Person | 98.7 | |
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Child | 98.7 | |
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Machine | 96.8 | |
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Wheel | 96.8 | |
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Wheel | 96.8 | |
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Wheel | 95.6 | |
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Photography | 90.9 | |
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Outdoors | 89.1 | |
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Person | 86 | |
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Tractor | 84 | |
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Transportation | 84 | |
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Vehicle | 84 | |
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Face | 83.2 | |
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Head | 83.2 | |
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Wheel | 78.3 | |
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Portrait | 76.5 | |
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Wheel | 75.4 | |
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Nature | 74.2 | |
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Car | 67 | |
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Worker | 57.3 | |
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Spoke | 56.8 | |
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Motor | 56.4 | |
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License Plate | 55.9 | |
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Driving | 55.4 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-06
machinist | 56.6 | |
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vehicle | 47.6 | |
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car | 37.1 | |
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machine | 35.9 | |
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transportation | 23.3 | |
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transport | 21 | |
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automobile | 20.1 | |
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engine | 19.2 | |
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thresher | 18.9 | |
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device | 17.4 | |
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equipment | 17.3 | |
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industrial | 17.2 | |
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auto | 17.2 | |
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industry | 17.1 | |
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wheel | 17.1 | |
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steamroller | 16.8 | |
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old | 16.7 | |
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steel | 15.9 | |
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farm machine | 15.8 | |
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locomotive | 14.6 | |
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work | 14.1 | |
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man | 14.1 | |
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vintage | 14.1 | |
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factory | 13.7 | |
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metal | 13.7 | |
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motor vehicle | 13.6 | |
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wheeled vehicle | 12.9 | |
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power | 12.6 | |
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engineer | 12 | |
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truck | 12 | |
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hood | 11.8 | |
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mechanic | 11.7 | |
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mechanical | 11.7 | |
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steam locomotive | 11.6 | |
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male | 11.3 | |
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people | 11.2 | |
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technology | 11.1 | |
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machinery | 11.1 | |
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tractor | 11 | |
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broken | 10.6 | |
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drive | 10.4 | |
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tire | 10 | |
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model t | 9.8 | |
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working | 9.7 | |
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repair | 9.6 | |
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conveyance | 9.4 | |
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classic | 9.3 | |
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road | 9 | |
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job | 8.8 | |
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steam | 8.7 | |
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heavy | 8.6 | |
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engineering | 8.6 | |
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adult | 8.4 | |
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iron | 8.4 | |
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sky | 8.3 | |
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person | 7.9 | |
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motor | 7.9 | |
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rock | 7.8 | |
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military | 7.7 | |
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fuel | 7.7 | |
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rust | 7.7 | |
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war | 7.7 | |
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dirt | 7.6 | |
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outdoors | 7.5 | |
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environment | 7.4 | |
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retro | 7.4 | |
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dirty | 7.2 | |
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lifestyle | 7.2 | |
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grass | 7.1 | |
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travel | 7 | |
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Google
created on 2018-05-11
car | 98.4 | |
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motor vehicle | 98 | |
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vehicle | 93.7 | |
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mode of transport | 87.5 | |
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black and white | 81.5 | |
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automotive exterior | 57 | |
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monochrome photography | 56.9 | |
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auto part | 53.6 | |
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asphalt | 52 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Male, 100% |
Sad | 55.6% |
Calm | 46.5% |
Angry | 9.5% |
Confused | 9.1% |
Surprised | 7% |
Fear | 6.1% |
Disgusted | 4.1% |
Happy | 0.4% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 99.6% |
Sad | 94.3% |
Angry | 46.6% |
Fear | 6.8% |
Surprised | 6.5% |
Calm | 2.3% |
Happy | 1.1% |
Disgusted | 0.5% |
Confused | 0.4% |
Feature analysis
Categories
Imagga
paintings art | 97.2% | |
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cars vehicles | 1.3% | |
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Captions
Microsoft
created on 2018-05-11
a man riding on the back of a truck | 79.5% | |
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a man standing in front of a truck | 79.4% | |
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a man standing next to a truck | 79.3% | |
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Text analysis
Amazon

JOHN

JOHN DEERE

DEERE

SUPE

OLIVER

BE

209

3-EC

PHONE

AN

OLIVER SUPE FIOR:

O.

EE

PLAINCITY

I

FIOR:

TRUCK