Machine Generated Data
Tags
Amazon
created on 2019-06-01
Human | 99.3 | |
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Person | 99.3 | |
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Person | 99.1 | |
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Bus | 98.4 | |
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Transportation | 98.4 | |
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Vehicle | 98.4 | |
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Person | 98.4 | |
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Person | 97.7 | |
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Person | 96.7 | |
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Person | 96.5 | |
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Person | 95.4 | |
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Person | 93.7 | |
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Plant | 92 | |
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Tree | 92 | |
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Person | 89.3 | |
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Person | 86.9 | |
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Person | 86.8 | |
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Person | 86.3 | |
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People | 84 | |
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Person | 79.4 | |
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Person | 79.1 | |
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Pedestrian | 78.9 | |
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Person | 78.3 | |
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Outdoors | 75 | |
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Person | 74.6 | |
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Person | 71.1 | |
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Crowd | 70.8 | |
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Nature | 70.8 | |
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Person | 70.7 | |
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Abies | 69.1 | |
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Fir | 69.1 | |
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Conifer | 67.4 | |
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Person | 67.3 | |
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Person | 65.5 | |
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Wheel | 63.4 | |
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Machine | 63.4 | |
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Person | 60.6 | |
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Bus | 56.9 | |
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Rural | 56.3 | |
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Shelter | 56.3 | |
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Countryside | 56.3 | |
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Building | 56.3 | |
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Clarifai
created on 2019-06-01
people | 99.5 | |
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group together | 99.1 | |
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many | 97 | |
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street | 96.5 | |
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group | 96.2 | |
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transportation system | 95.2 | |
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vehicle | 94.8 | |
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monochrome | 93.6 | |
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man | 92.7 | |
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war | 91.5 | |
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adult | 91.4 | |
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crowd | 91 | |
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military | 87 | |
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railway | 84.5 | |
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black and white | 84.3 | |
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police | 81.3 | |
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train | 80.8 | |
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cavalry | 80.2 | |
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soldier | 77.1 | |
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vintage | 74.9 | |
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Imagga
created on 2019-06-01
Google
created on 2019-06-01
Photograph | 97.4 | |
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Snapshot | 89.4 | |
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Black-and-white | 85.4 | |
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Transport | 83.5 | |
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Photography | 79.4 | |
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Monochrome | 72.4 | |
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Vehicle | 67.9 | |
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Street | 63.4 | |
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Monochrome photography | 57.8 | |
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Car | 52.7 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.5% |
Surprised | 49.5% |
Calm | 50% |
Disgusted | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Happy | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Disgusted | 49.5% |
Sad | 50.2% |
Surprised | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Calm | 49.7% |
Confused | 49.5% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 50% |
Disgusted | 49.5% |
Calm | 50.1% |
Sad | 49.7% |
Confused | 49.5% |
Angry | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Angry | 49.7% |
Happy | 49.6% |
Confused | 49.5% |
Sad | 50.1% |
Calm | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Angry | 49.6% |
Calm | 49.9% |
Sad | 49.8% |
Surprised | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.1% |
Happy | 49.5% |
Confused | 49.6% |
Disgusted | 49.5% |
Sad | 49.7% |
Calm | 49.5% |
Angry | 50.1% |
Surprised | 49.6% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.2% |
Surprised | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Happy | 49.6% |
Sad | 50.2% |
Angry | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Disgusted | 49.5% |
Sad | 49.5% |
Confused | 49.6% |
Happy | 49.7% |
Angry | 49.6% |
Surprised | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Calm | 49.8% |
Confused | 49.6% |
Sad | 49.8% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.6% |

AWS Rekognition
Age | 10-15 |
Gender | Male, 50.3% |
Confused | 49.5% |
Happy | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Confused | 49.6% |
Angry | 49.6% |
Sad | 49.8% |
Calm | 49.6% |
Disgusted | 49.5% |
Happy | 49.8% |
Surprised | 49.6% |

AWS Rekognition
Age | 12-22 |
Gender | Male, 50.2% |
Happy | 49.8% |
Disgusted | 49.6% |
Angry | 49.5% |
Calm | 49.9% |
Sad | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Calm | 49.7% |
Surprised | 49.7% |
Angry | 49.8% |
Happy | 49.5% |
Sad | 49.7% |
Confused | 49.5% |

AWS Rekognition
Age | 14-23 |
Gender | Male, 50.4% |
Sad | 50.3% |
Happy | 49.5% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Feature analysis
Amazon
Person
Bus
Wheel

Person | 99.3% | |
|

Person | 99.1% | |
|

Person | 98.4% | |
|

Person | 97.7% | |
|

Person | 96.7% | |
|

Person | 96.5% | |
|

Person | 95.4% | |
|

Person | 93.7% | |
|

Person | 89.3% | |
|

Person | 86.9% | |
|

Person | 86.8% | |
|

Person | 86.3% | |
|

Person | 79.4% | |
|

Person | 79.1% | |
|

Person | 78.3% | |
|

Person | 74.6% | |
|

Person | 71.1% | |
|

Person | 70.7% | |
|

Person | 67.3% | |
|

Person | 65.5% | |
|

Person | 60.6% | |
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Bus | 98.4% | |
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Bus | 56.9% | |
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Wheel | 63.4% | |
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Categories
Imagga
nature landscape | 56.7% | |
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beaches seaside | 21.6% | |
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streetview architecture | 19.2% | |
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cars vehicles | 1.8% | |
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Captions
Microsoft
created on 2019-06-01
a vintage photo of a bus | 75.9% | |
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a black and white photo of a bus | 73.6% | |
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a group of people standing in front of a building | 73.5% | |
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