Machine Generated Data
Tags
Amazon
created on 2022-06-04
Clarifai
created on 2023-10-31
train | 99.6 | |
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transportation system | 99.5 | |
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tram | 99.4 | |
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tramway | 99.3 | |
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railway | 99.3 | |
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vehicle | 99 | |
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vintage | 99 | |
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locomotive | 98.7 | |
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people | 96.3 | |
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wagon | 95.3 | |
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retro | 95.2 | |
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illustration | 94.8 | |
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old | 94.7 | |
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monochrome | 93.9 | |
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art | 92.6 | |
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street | 92.4 | |
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antique | 91.9 | |
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group | 91.6 | |
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signalise | 91.3 | |
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carriage | 90 | |
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Imagga
created on 2022-06-04
Google
created on 2022-06-04
Vehicle | 94.2 | |
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Wheel | 92.1 | |
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Motor vehicle | 90.8 | |
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Tire | 90.7 | |
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Window | 89.6 | |
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Rectangle | 88.4 | |
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Picture frame | 85.7 | |
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Mode of transport | 84.5 | |
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Font | 81.2 | |
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Automotive lighting | 75 | |
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Bus | 74.7 | |
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Automotive design | 73.1 | |
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Electricity | 71.2 | |
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Art | 71 | |
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Drawing | 69.7 | |
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Illustration | 69.6 | |
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Automotive exterior | 69.5 | |
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Auto part | 69.4 | |
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Painting | 69 | |
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Locomotive | 67 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-36 |
Gender | Male, 98.5% |
Fear | 98% |
Surprised | 6.4% |
Sad | 2.2% |
Calm | 0.2% |
Disgusted | 0% |
Happy | 0% |
Angry | 0% |
Confused | 0% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.5% |
Angry | 68.2% |
Calm | 18.1% |
Fear | 10.6% |
Surprised | 7% |
Sad | 2.5% |
Happy | 0.9% |
Disgusted | 0.4% |
Confused | 0.4% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.9% |
Fear | 79.6% |
Sad | 20.3% |
Surprised | 9.9% |
Calm | 5.5% |
Disgusted | 4% |
Angry | 3.6% |
Confused | 1.3% |
Happy | 1.1% |

AWS Rekognition
Age | 14-22 |
Gender | Female, 77.8% |
Sad | 100% |
Surprised | 6.3% |
Fear | 6% |
Angry | 2.1% |
Calm | 1.4% |
Disgusted | 0.3% |
Confused | 0.1% |
Happy | 0.1% |
Feature analysis
Categories
Imagga
cars vehicles | 71.3% | |
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text visuals | 12.9% | |
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interior objects | 10.6% | |
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paintings art | 4.3% | |
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Captions
Microsoft
created on 2022-06-04
an old photo of a person | 50.2% | |
|
Text analysis
Amazon

2.5

Wested

Charlottenbe
RENDS
2.5

Charlottenbe

RENDS

2.5