Machine Generated Data
Tags
Amazon
created on 2019-06-04
Human | 98.1 | |
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Person | 98.1 | |
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Person | 97.4 | |
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Person | 96.9 | |
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Person | 96.5 | |
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Person | 94.8 | |
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Person | 94.7 | |
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Person | 94.6 | |
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Clothing | 93.9 | |
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Apparel | 93.9 | |
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Person | 91 | |
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Person | 89.2 | |
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Person | 87.8 | |
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Person | 86.5 | |
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Person | 82 | |
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Person | 81.1 | |
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Person | 79 | |
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Person | 78.8 | |
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Person | 74.8 | |
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Transportation | 74.5 | |
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Vehicle | 74.5 | |
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Person | 73.5 | |
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Painting | 72.8 | |
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Art | 72.8 | |
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Motorcycle | 68.8 | |
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Musician | 68.8 | |
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Musical Instrument | 68.8 | |
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Person | 68 | |
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Person | 67.8 | |
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Outdoors | 66 | |
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People | 63.6 | |
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Motor Scooter | 57.2 | |
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Vespa | 57.2 | |
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Crowd | 56.9 | |
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Vegetation | 56.9 | |
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Plant | 56.9 | |
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Child | 56 | |
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Kid | 56 | |
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Coat | 55.7 | |
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Moped | 55.2 | |
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Person | 50.3 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
broom | 20 | |
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dancer | 17.3 | |
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cleaning implement | 16.8 | |
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old | 16 | |
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city | 14.9 | |
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wall | 14.9 | |
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performer | 14.7 | |
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art | 14.6 | |
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people | 13.9 | |
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person | 13.5 | |
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travel | 13.4 | |
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teacher | 13.1 | |
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building | 12.6 | |
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architecture | 11.7 | |
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park | 11.5 | |
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light | 11.4 | |
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water | 11.3 | |
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room | 11 | |
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vacation | 10.6 | |
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summer | 10.3 | |
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street | 10.1 | |
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educator | 10 | |
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sunlight | 9.8 | |
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urban | 9.6 | |
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classroom | 9.5 | |
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scene | 9.5 | |
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ancient | 9.5 | |
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man | 9.4 | |
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grunge | 9.4 | |
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vintage | 9.1 | |
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tourism | 9.1 | |
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entertainer | 8.9 | |
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women | 8.7 | |
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holiday | 8.6 | |
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walking | 8.5 | |
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adult | 8.4 | |
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outdoors | 8.2 | |
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sculpture | 8.2 | |
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happy | 8.1 | |
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dirty | 8.1 | |
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group | 8 | |
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decoration | 8 | |
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world | 7.7 | |
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motion | 7.7 | |
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crowd | 7.7 | |
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outdoor | 7.6 | |
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dark | 7.5 | |
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antique | 7.3 | |
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professional | 7.2 | |
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detail | 7.2 | |
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history | 7.1 | |
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portrait | 7.1 | |
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happiness | 7 | |
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sky | 7 | |
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season | 7 | |
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Google
created on 2019-06-04
Photograph | 97 | |
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Snapshot | 88.6 | |
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Stock photography | 76.3 | |
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Vintage clothing | 72.1 | |
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Room | 65.7 | |
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Photography | 62.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Sad | 50.2% |
Confused | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.4% |
Confused | 49.6% |
Sad | 49.9% |
Surprised | 49.6% |
Happy | 49.7% |
Angry | 49.6% |
Disgusted | 49.6% |
Calm | 49.6% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.4% |
Calm | 49.6% |
Sad | 50.3% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.5% |
Angry | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50.3% |
Surprised | 49.5% |

AWS Rekognition
Age | 57-77 |
Gender | Female, 50.4% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Calm | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.2% |
Sad | 50.4% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 2-5 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Happy | 49.6% |
Confused | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.4% |
Sad | 50.2% |
Happy | 49.6% |
Angry | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Disgusted | 49.5% |
Sad | 50.2% |
Surprised | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Happy | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.5% |
Calm | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Confused | 49.5% |
Calm | 50.2% |
Disgusted | 49.6% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50.3% |
Calm | 49.6% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 50% |
Happy | 49.6% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.4% |
Surprised | 49.7% |
Confused | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
Disgusted | 49.5% |
Sad | 50% |
Calm | 49.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 50.3% |
Surprised | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.1% |
Surprised | 49.5% |
Angry | 49.6% |
Calm | 49.8% |
Happy | 49.7% |
Sad | 49.7% |
Disgusted | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.5% |
Angry | 49.5% |
Happy | 49.8% |
Disgusted | 49.6% |
Surprised | 49.6% |
Calm | 49.8% |
Confused | 49.5% |
Sad | 49.5% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 50.1% |
Happy | 49.5% |
Sad | 50.3% |
Calm | 49.5% |
Confused | 49.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 52.2% | |
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paintings art | 46.7% | |
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Captions
Microsoft
created on 2019-06-04
a group of people standing in front of a building | 89.7% | |
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a group of people standing next to a building | 89.4% | |
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a group of people standing outside of a building | 89.3% | |
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