Machine Generated Data
Tags
Amazon
created on 2022-01-22
Car | 99.6 | |
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Automobile | 99.6 | |
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Vehicle | 99.6 | |
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Transportation | 99.6 | |
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Person | 98.8 | |
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Human | 98.8 | |
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Person | 98.8 | |
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Person | 98.5 | |
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Person | 96.9 | |
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Person | 93.2 | |
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Person | 87.3 | |
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Convertible | 87.1 | |
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Person | 85.7 | |
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Person | 81.6 | |
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Person | 79.6 | |
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Person | 76.6 | |
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Sports Car | 76.6 | |
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Person | 75.3 | |
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Crowd | 74.2 | |
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Tire | 73.7 | |
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Person | 73.5 | |
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Spoke | 72.3 | |
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Machine | 72.3 | |
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People | 70.6 | |
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Person | 69.8 | |
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Wheel | 69.8 | |
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Person | 68.7 | |
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Person | 68.5 | |
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Person | 68.1 | |
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Car Wheel | 58.7 | |
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Watercraft | 56.6 | |
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Vessel | 56.6 | |
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Officer | 55.9 | |
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Military | 55.9 | |
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Military Uniform | 55.9 | |
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Hot Rod | 55.4 | |
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Person | 50.4 | |
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Person | 45.6 | |
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Clarifai
created on 2023-10-26
people | 99.9 | |
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vehicle | 99.7 | |
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many | 99.3 | |
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convertible | 99.2 | |
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group together | 99 | |
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car | 98.6 | |
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transportation system | 98.6 | |
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adult | 98.4 | |
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man | 95.4 | |
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group | 95.4 | |
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woman | 94.4 | |
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driver | 94.4 | |
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military | 90.9 | |
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several | 86.4 | |
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administration | 86 | |
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war | 81.8 | |
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wear | 81.4 | |
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recreation | 80.1 | |
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crowd | 79 | |
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spectator | 77.8 | |
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Imagga
created on 2022-01-22
car | 85.2 | |
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vehicle | 44.8 | |
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motor vehicle | 37.2 | |
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automobile | 36.3 | |
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speed | 35.7 | |
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auto | 33.5 | |
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transportation | 32.2 | |
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race | 25.8 | |
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transport | 25.5 | |
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motor | 24.2 | |
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wheel | 23.5 | |
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fast | 22.4 | |
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racer | 22 | |
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drive | 21.7 | |
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sports car | 21.4 | |
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sport | 20 | |
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luxury | 19.7 | |
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sidecar | 18.9 | |
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sports | 18.5 | |
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road | 18 | |
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bumper | 17.2 | |
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driving | 16.4 | |
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engine | 16.3 | |
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modern | 16.1 | |
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street | 15.6 | |
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wheeled vehicle | 15.2 | |
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traffic | 15.2 | |
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power | 15.1 | |
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city | 14.1 | |
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style | 14.1 | |
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travel | 13.4 | |
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urban | 13.1 | |
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design | 12.9 | |
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motion | 12.8 | |
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tire | 12.8 | |
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driver | 12.6 | |
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equipment | 12.2 | |
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light | 12 | |
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racing | 11.7 | |
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lifestyle | 11.6 | |
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black | 10.8 | |
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cars | 10.7 | |
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highway | 10.6 | |
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headlight | 10.5 | |
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moving | 10.5 | |
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technology | 10.4 | |
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elegant | 10.3 | |
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device | 10.2 | |
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competition | 10.1 | |
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people | 10 | |
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vintage | 9.9 | |
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automotive | 9.8 | |
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metal | 9.6 | |
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track | 9.6 | |
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blurred | 9.6 | |
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color | 9.4 | |
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movement | 9.4 | |
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machine | 9.4 | |
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model | 9.3 | |
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mechanical device | 9.2 | |
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fashion | 9 | |
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new | 8.9 | |
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detail | 8.8 | |
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wheels | 8.8 | |
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asphalt | 8.8 | |
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conveyance | 8.7 | |
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scene | 8.6 | |
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expensive | 8.6 | |
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blur | 8.4 | |
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old | 8.4 | |
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reflection | 8.3 | |
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fun | 8.2 | |
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retro | 8.2 | |
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shop | 7.9 | |
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shiny | 7.9 | |
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business | 7.9 | |
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high | 7.8 | |
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mechanism | 7.1 | |
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Google
created on 2022-01-22
Tire | 93.2 | |
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Vehicle | 92.4 | |
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Hood | 91.5 | |
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Motor vehicle | 88.4 | |
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Automotive lighting | 88.2 | |
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Car | 87.2 | |
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Wheel | 83.9 | |
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Black-and-white | 83.5 | |
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Line | 82 | |
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Personal luxury car | 79.9 | |
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Roadster | 79 | |
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Font | 78.1 | |
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Monochrome | 77.3 | |
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Automotive exterior | 77.1 | |
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Monochrome photography | 77 | |
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Classic car | 76.7 | |
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Automotive design | 76.2 | |
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Automotive wheel system | 76.1 | |
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Snapshot | 74.3 | |
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Bumper | 74.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 28-38 |
Gender | Female, 64% |
Calm | 40.7% |
Surprised | 19.9% |
Fear | 12.9% |
Happy | 9.5% |
Disgusted | 6.1% |
Sad | 5.4% |
Angry | 3.5% |
Confused | 2.1% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 61.6% |
Calm | 84.6% |
Surprised | 4.1% |
Fear | 2.8% |
Angry | 2.5% |
Confused | 2.2% |
Sad | 1.5% |
Happy | 1.4% |
Disgusted | 1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 92.8% |
Calm | 73.9% |
Happy | 21.2% |
Sad | 2.3% |
Disgusted | 0.8% |
Fear | 0.7% |
Angry | 0.5% |
Surprised | 0.3% |
Confused | 0.2% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 91.9% |
Happy | 78% |
Fear | 8.2% |
Sad | 5.8% |
Calm | 4.4% |
Surprised | 1.3% |
Angry | 0.9% |
Disgusted | 0.8% |
Confused | 0.6% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 80.9% |
Happy | 82% |
Calm | 15.9% |
Sad | 0.8% |
Surprised | 0.4% |
Fear | 0.3% |
Disgusted | 0.2% |
Angry | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 95.2% |
Happy | 53.6% |
Surprised | 40.4% |
Calm | 2% |
Angry | 1.3% |
Sad | 0.9% |
Fear | 0.8% |
Disgusted | 0.6% |
Confused | 0.3% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 95.6% |
Sad | 74.3% |
Calm | 18.7% |
Confused | 3.2% |
Angry | 1.7% |
Disgusted | 0.7% |
Fear | 0.6% |
Happy | 0.4% |
Surprised | 0.3% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 97.2% |
Calm | 44.2% |
Angry | 13.6% |
Surprised | 10.3% |
Disgusted | 9.3% |
Sad | 8.7% |
Confused | 8.1% |
Happy | 4.6% |
Fear | 1.3% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 65.3% |
Angry | 33.1% |
Calm | 27.9% |
Sad | 15.1% |
Happy | 14.5% |
Surprised | 3.5% |
Confused | 2.5% |
Disgusted | 2.3% |
Fear | 1.1% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 73.5% |
Calm | 62.4% |
Happy | 9.9% |
Surprised | 9.1% |
Angry | 7.3% |
Fear | 4% |
Sad | 3.8% |
Confused | 2% |
Disgusted | 1.5% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 97.8% |
Happy | 52.4% |
Calm | 25.6% |
Angry | 12.5% |
Disgusted | 2.8% |
Sad | 2.3% |
Surprised | 1.9% |
Confused | 1.4% |
Fear | 1.2% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 97.6% |
Calm | 61.5% |
Happy | 17.3% |
Angry | 8.7% |
Sad | 4.1% |
Confused | 2.4% |
Fear | 2.4% |
Surprised | 1.8% |
Disgusted | 1.8% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 95.6% |
Calm | 91.1% |
Sad | 3.5% |
Disgusted | 1.5% |
Confused | 1.3% |
Surprised | 1% |
Angry | 0.9% |
Happy | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 52.9% |
Sad | 25.2% |
Happy | 23% |
Angry | 13.1% |
Calm | 10.2% |
Surprised | 9.4% |
Confused | 8.2% |
Fear | 7.8% |
Disgusted | 3.1% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 51% |
Happy | 92.3% |
Calm | 2.5% |
Disgusted | 1.4% |
Surprised | 1% |
Fear | 0.9% |
Sad | 0.8% |
Angry | 0.7% |
Confused | 0.4% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 69% |
Calm | 96.3% |
Happy | 2.3% |
Angry | 0.5% |
Sad | 0.3% |
Surprised | 0.3% |
Fear | 0.1% |
Disgusted | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 81.8% |
Calm | 78% |
Happy | 7.9% |
Disgusted | 4.2% |
Angry | 3.5% |
Sad | 2.9% |
Confused | 2% |
Surprised | 1.2% |
Fear | 0.4% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 100% |
Happy | 68.6% |
Calm | 14.1% |
Angry | 3.9% |
Surprised | 3.7% |
Sad | 3.6% |
Disgusted | 3.5% |
Confused | 2.1% |
Fear | 0.6% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.7% |
Calm | 64.4% |
Happy | 26.7% |
Sad | 2.1% |
Surprised | 1.9% |
Disgusted | 1.7% |
Fear | 1.2% |
Confused | 1.2% |
Angry | 0.7% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 93.8% |
Happy | 77.9% |
Surprised | 8.8% |
Calm | 4.8% |
Disgusted | 2.3% |
Fear | 2% |
Sad | 1.8% |
Angry | 1.6% |
Confused | 0.8% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 51.8% |
Angry | 29.3% |
Sad | 26.6% |
Surprised | 20.1% |
Happy | 7.2% |
Disgusted | 5.7% |
Calm | 5.6% |
Fear | 3.2% |
Confused | 2.4% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.7% |
Happy | 44.6% |
Calm | 27.2% |
Sad | 20.7% |
Confused | 2.8% |
Angry | 2.1% |
Disgusted | 1% |
Surprised | 1% |
Fear | 0.6% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.9% |
Happy | 98.7% |
Fear | 0.3% |
Sad | 0.2% |
Calm | 0.2% |
Surprised | 0.2% |
Angry | 0.2% |
Disgusted | 0.1% |
Confused | 0.1% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Possible |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Possible |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Feature analysis
Categories
Imagga
cars vehicles | 95.3% | |
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interior objects | 3.9% | |
|
Captions
Microsoft
created on 2022-01-22
a vintage photo of a group of people standing in front of a car | 91.8% | |
| ||
a vintage photo of a group of people standing on top of a car | 90.5% | |
| ||
a vintage photo of a group of people in a car | 90.4% | |
|
Text analysis
Amazon

ARKING

KODVK-

733427