Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.4 | |
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Person | 99.3 | |
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Person | 99.1 | |
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Person | 98.9 | |
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Person | 98.5 | |
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Person | 98.4 | |
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Military | 96 | |
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Military Uniform | 95.7 | |
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People | 91.3 | |
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Musician | 90.5 | |
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Musical Instrument | 90.5 | |
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Crowd | 89.6 | |
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Person | 88.8 | |
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Army | 85.7 | |
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Armored | 85.7 | |
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Person | 83.7 | |
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Troop | 78.8 | |
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Marching | 78.1 | |
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Person | 77.2 | |
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Soldier | 76 | |
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Person | 76 | |
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Person | 73.4 | |
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Officer | 71.4 | |
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Music Band | 68.8 | |
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Person | 67.5 | |
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Person | 61.3 | |
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Clothing | 61.2 | |
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Apparel | 61.2 | |
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Brass Section | 60 | |
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Footwear | 58.2 | |
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Shoe | 58.2 | |
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Person | 52.3 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
uniform | 32 | |
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military uniform | 29.3 | |
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clothing | 25.1 | |
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gun | 24.9 | |
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rifle | 21.5 | |
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military | 21.2 | |
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man | 20.8 | |
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soldier | 20.5 | |
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weapon | 17.6 | |
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helmet | 17.6 | |
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city | 17.4 | |
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war | 16.4 | |
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old | 16 | |
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statue | 15.2 | |
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male | 14.9 | |
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firearm | 14.8 | |
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army | 14.6 | |
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monument | 14 | |
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building | 13.1 | |
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person | 13 | |
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protection | 12.7 | |
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sculpture | 12.6 | |
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history | 12.5 | |
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people | 12.3 | |
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consumer goods | 11.9 | |
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musical instrument | 11.8 | |
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brass | 11.7 | |
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architecture | 11.7 | |
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urban | 11.3 | |
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private | 11.3 | |
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industrial | 10.9 | |
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battle | 10.7 | |
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wind instrument | 10.6 | |
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covering | 10.6 | |
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travel | 10.5 | |
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historical | 10.3 | |
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danger | 10 | |
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industry | 9.4 | |
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sport | 9.1 | |
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dirty | 9 | |
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landmark | 9 | |
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equipment | 8.9 | |
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life | 8.9 | |
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camouflage | 8.8 | |
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warrior | 8.8 | |
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art | 8.5 | |
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business | 8.5 | |
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portrait | 8.4 | |
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power | 8.4 | |
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armor plate | 8.4 | |
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vintage | 8.3 | |
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sax | 8.2 | |
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historic | 8.2 | |
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tourism | 8.2 | |
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suit | 8.1 | |
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activity | 8.1 | |
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adult | 7.8 | |
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conflict | 7.8 | |
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machine | 7.8 | |
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nuclear | 7.7 | |
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outdoor | 7.6 | |
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memorial | 7.2 | |
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room | 7.2 | |
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transportation | 7.2 | |
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to | 7.1 | |
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work | 7.1 | |
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Google
created on 2019-06-04
Drum | 80.7 | |
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Musical instrument | 71.7 | |
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Crew | 70.4 | |
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Team | 59.4 | |
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Davul | 55.6 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.9% |
Calm | 52.9% |
Sad | 45.7% |
Happy | 45.5% |
Angry | 45.3% |
Disgusted | 45.2% |
Confused | 45.3% |
Surprised | 45.1% |

AWS Rekognition
Age | 11-18 |
Gender | Male, 53.9% |
Sad | 45% |
Disgusted | 45.1% |
Surprised | 45.1% |
Happy | 45% |
Confused | 45% |
Angry | 45% |
Calm | 54.7% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 51.5% |
Sad | 45.3% |
Surprised | 45.1% |
Calm | 53.8% |
Happy | 45.3% |
Disgusted | 45.3% |
Confused | 45.1% |
Angry | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 51.8% |
Confused | 45% |
Calm | 54.8% |
Disgusted | 45.1% |
Happy | 45% |
Angry | 45% |
Sad | 45% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.8% |
Disgusted | 45.4% |
Angry | 45.1% |
Sad | 45.1% |
Surprised | 45.1% |
Happy | 45.1% |
Calm | 54.1% |
Confused | 45.2% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.3% |
Calm | 53.8% |
Confused | 45.1% |
Happy | 45.1% |
Sad | 45.6% |
Surprised | 45.1% |
Disgusted | 45.1% |
Angry | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 54.6% |
Happy | 45% |
Angry | 45.2% |
Disgusted | 45.4% |
Confused | 45.1% |
Sad | 45.1% |
Calm | 54.2% |
Surprised | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.3% |
Angry | 45.1% |
Calm | 54.3% |
Disgusted | 45.5% |
Happy | 45% |
Surprised | 45.1% |
Sad | 45% |
Confused | 45% |

AWS Rekognition
Age | 45-65 |
Gender | Male, 54.6% |
Calm | 54% |
Disgusted | 45.3% |
Confused | 45.1% |
Angry | 45.2% |
Happy | 45.1% |
Sad | 45.2% |
Surprised | 45.1% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.2% |
Angry | 45.1% |
Happy | 45% |
Disgusted | 45.1% |
Confused | 45% |
Surprised | 45% |
Sad | 45% |
Calm | 54.8% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 53.8% |
Happy | 45% |
Calm | 53.2% |
Confused | 45.1% |
Disgusted | 45.4% |
Surprised | 45.2% |
Angry | 45.3% |
Sad | 45.7% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.2% |
Angry | 45% |
Disgusted | 45.1% |
Confused | 45% |
Calm | 54.6% |
Happy | 45.1% |
Surprised | 45% |
Sad | 45.1% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 54.5% |
Sad | 45.3% |
Confused | 45.3% |
Calm | 48.1% |
Disgusted | 50.3% |
Happy | 45.1% |
Angry | 45.6% |
Surprised | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Calm | 51.8% |
Disgusted | 46% |
Angry | 45.2% |
Sad | 46.4% |
Happy | 45.3% |
Confused | 45.2% |
Surprised | 45.2% |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 35 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 95.4% | |
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streetview architecture | 3.6% | |
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Captions
Microsoft
created on 2019-06-04
a group of people in uniform posing for a photo | 96.9% | |
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a group of people in uniform | 96.8% | |
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a group of people in uniform posing for a picture | 96.7% | |
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