Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 99.5 | |
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Person | 99.5 | |
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Person | 99.3 | |
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Person | 98.8 | |
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Person | 98.7 | |
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Military | 98.6 | |
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Military Uniform | 98.6 | |
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Person | 96.2 | |
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Person | 95 | |
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Person | 95 | |
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Person | 94.5 | |
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Person | 94 | |
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Person | 93 | |
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Person | 92.4 | |
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People | 91.7 | |
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Armored | 90.8 | |
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Army | 90.8 | |
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Troop | 90.8 | |
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Footwear | 85.7 | |
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Shoe | 85.7 | |
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Clothing | 85.7 | |
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Apparel | 85.7 | |
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Officer | 77.6 | |
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Crowd | 76.5 | |
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Soldier | 73.3 | |
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Person | 68.8 | |
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Marching | 67.6 | |
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Weaponry | 57.8 | |
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Weapon | 57.8 | |
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Gun | 57.8 | |
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Guard | 57.7 | |
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Person | 49.8 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
helmet | 75.4 | |
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armor plate | 49.2 | |
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uniform | 31.3 | |
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plate | 28.1 | |
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man | 26.2 | |
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military uniform | 23.5 | |
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people | 22.3 | |
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male | 21.3 | |
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military | 21.2 | |
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person | 19.7 | |
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soldier | 19.5 | |
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clothing | 19.2 | |
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sport | 18.3 | |
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shield | 17.1 | |
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weapon | 16.7 | |
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danger | 15.4 | |
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army | 14.6 | |
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protection | 14.5 | |
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war | 14.4 | |
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gun | 13.5 | |
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adult | 13 | |
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men | 12.9 | |
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warrior | 11.7 | |
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silhouette | 10.7 | |
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outdoor | 10.7 | |
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rifle | 10.6 | |
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group | 10.5 | |
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black | 10.2 | |
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outdoors | 9.7 | |
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consumer goods | 9.5 | |
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industrial | 9.1 | |
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toxic | 8.8 | |
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protective | 8.8 | |
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nuclear | 8.7 | |
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mask | 8.6 | |
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walking | 8.5 | |
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private | 8.3 | |
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action | 8.3 | |
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competition | 8.2 | |
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to | 8 | |
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combat | 7.9 | |
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radioactive | 7.8 | |
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camouflage | 7.8 | |
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radiation | 7.8 | |
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conflict | 7.8 | |
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destruction | 7.8 | |
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brass | 7.8 | |
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chemical | 7.7 | |
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gas | 7.7 | |
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statue | 7.6 | |
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horse | 7.6 | |
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power | 7.5 | |
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dirty | 7.2 | |
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suit | 7.2 | |
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team | 7.2 | |
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activity | 7.2 | |
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history | 7.1 | |
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portrait | 7.1 | |
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summer | 7.1 | |
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travel | 7 | |
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Google
created on 2019-06-05
Photograph | 94.8 | |
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People | 93.9 | |
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Team | 82.8 | |
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Troop | 74.2 | |
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Uniform | 70.8 | |
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History | 68.8 | |
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Crew | 68.5 | |
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Military officer | 59.6 | |
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Military person | 57.5 | |
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Family | 56.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 15-25 |
Gender | Male, 54.8% |
Surprised | 45.1% |
Confused | 45.1% |
Sad | 46.9% |
Calm | 52% |
Disgusted | 45.3% |
Happy | 45.2% |
Angry | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Sad | 45.2% |
Happy | 45.2% |
Surprised | 45.2% |
Disgusted | 45.8% |
Angry | 45.2% |
Calm | 53.2% |
Confused | 45.1% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 54.8% |
Confused | 45.2% |
Calm | 50.6% |
Happy | 45.2% |
Surprised | 45.1% |
Sad | 48.6% |
Angry | 45.2% |
Disgusted | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.5% |
Calm | 53.2% |
Angry | 45.1% |
Surprised | 45.1% |
Confused | 45.1% |
Sad | 46% |
Happy | 45.1% |
Disgusted | 45.4% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.2% |
Angry | 45.2% |
Sad | 45.8% |
Confused | 45.1% |
Disgusted | 45% |
Calm | 53.8% |
Surprised | 45.1% |
Happy | 45% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.9% |
Surprised | 45.3% |
Sad | 45.4% |
Happy | 45.2% |
Disgusted | 46.2% |
Confused | 45.2% |
Calm | 52% |
Angry | 45.7% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 55% |
Confused | 45.4% |
Happy | 45.2% |
Sad | 52.4% |
Surprised | 45% |
Angry | 46.2% |
Disgusted | 45.3% |
Calm | 45.5% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 54.1% |
Sad | 45.1% |
Disgusted | 46% |
Confused | 45.1% |
Happy | 45% |
Calm | 53.5% |
Surprised | 45.1% |
Angry | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.7% |
Happy | 45.1% |
Confused | 45.3% |
Calm | 53.3% |
Surprised | 45.2% |
Sad | 45.9% |
Disgusted | 45.1% |
Angry | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.4% |
Sad | 45.8% |
Confused | 45.2% |
Calm | 48.1% |
Disgusted | 45.8% |
Happy | 49.7% |
Angry | 45.3% |
Surprised | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.9% |
Disgusted | 46.8% |
Calm | 51.7% |
Confused | 45.5% |
Surprised | 45.2% |
Happy | 45.1% |
Angry | 45.5% |
Sad | 45.1% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 53.9% |
Angry | 45.4% |
Happy | 45.2% |
Disgusted | 45.2% |
Sad | 49.9% |
Confused | 45.3% |
Calm | 48.9% |
Surprised | 45.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.1% |
Calm | 53.1% |
Disgusted | 45.2% |
Sad | 45.4% |
Angry | 45.2% |
Happy | 45.6% |
Surprised | 45.3% |
Confused | 45.2% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 54.8% |
Angry | 45.1% |
Disgusted | 45.1% |
Sad | 45.3% |
Confused | 45.1% |
Happy | 45.1% |
Surprised | 45.1% |
Calm | 54.3% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 52.1% |
Disgusted | 47.4% |
Sad | 46.9% |
Confused | 45.5% |
Calm | 47.5% |
Surprised | 45.5% |
Happy | 45.7% |
Angry | 46.4% |

AWS Rekognition
Age | 35-53 |
Gender | Male, 54% |
Happy | 45% |
Surprised | 45.1% |
Angry | 45.1% |
Sad | 45.1% |
Confused | 45.1% |
Calm | 54.2% |
Disgusted | 45.4% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.8% |
Disgusted | 45.1% |
Confused | 45% |
Angry | 45.1% |
Sad | 45.2% |
Surprised | 45.1% |
Happy | 45% |
Calm | 54.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.7% |
Happy | 45.1% |
Sad | 45.3% |
Surprised | 45% |
Confused | 45% |
Calm | 54.5% |
Angry | 45.1% |
Disgusted | 45% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.8% |
Angry | 45.3% |
Happy | 45.1% |
Surprised | 45.2% |
Calm | 53.3% |
Confused | 45.2% |
Sad | 45.8% |
Disgusted | 45.2% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53.2% |
Calm | 48.8% |
Sad | 47.9% |
Disgusted | 45.3% |
Happy | 45.2% |
Surprised | 45.4% |
Angry | 47.2% |
Confused | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 54.9% |
Calm | 48% |
Angry | 45.3% |
Surprised | 45.1% |
Confused | 45.4% |
Disgusted | 45.5% |
Happy | 45.2% |
Sad | 50.4% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 54.9% |
Happy | 45.1% |
Disgusted | 49% |
Sad | 49% |
Confused | 45.1% |
Angry | 46.6% |
Surprised | 45.1% |
Calm | 45.2% |

AWS Rekognition
Age | 4-7 |
Gender | Male, 52.7% |
Sad | 45.7% |
Disgusted | 47.5% |
Calm | 50.2% |
Angry | 45.5% |
Surprised | 45.5% |
Confused | 45.3% |
Happy | 45.2% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 53.6% |
Surprised | 45.2% |
Happy | 45.1% |
Confused | 45.2% |
Sad | 45.3% |
Calm | 53.6% |
Disgusted | 45.2% |
Angry | 45.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 52.5% |
Disgusted | 45.1% |
Surprised | 45.2% |
Sad | 52.7% |
Calm | 45.9% |
Angry | 45.4% |
Happy | 45.3% |
Confused | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.5% |
Confused | 45.2% |
Disgusted | 45.2% |
Surprised | 45.2% |
Sad | 45.7% |
Angry | 45.3% |
Calm | 52.5% |
Happy | 45.9% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 50.5% |
Disgusted | 49.5% |
Calm | 49.9% |
Surprised | 49.5% |
Angry | 49.7% |
Sad | 49.8% |
Confused | 49.5% |
Happy | 49.5% |

Microsoft Cognitive Services
Age | 35 |
Gender | Male |
Feature analysis
Categories
Imagga
paintings art | 78% | |
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streetview architecture | 6.1% | |
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beaches seaside | 5.5% | |
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people portraits | 3.3% | |
| ||
nature landscape | 3.1% | |
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interior objects | 1.5% | |
| ||
pets animals | 1.2% | |
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Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo | 98.7% | |
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a group of people in uniform posing for a photo | 98.2% | |
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a group of people posing for the camera | 98.1% | |
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Text analysis

HER

HER