Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 98.9 | |
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Person | 98.9 | |
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Person | 98.4 | |
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Person | 97.7 | |
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Person | 97.6 | |
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Person | 96.6 | |
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Person | 94.9 | |
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Person | 94.8 | |
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Person | 94.4 | |
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Person | 92.7 | |
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Person | 91.2 | |
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Building | 89.5 | |
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Person | 88.8 | |
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Flooring | 88.5 | |
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Restaurant | 86.2 | |
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Cafeteria | 86.2 | |
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Person | 81.5 | |
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Floor | 75.2 | |
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Clinic | 65.3 | |
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Apparel | 63.7 | |
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Clothing | 63.7 | |
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Shorts | 63.7 | |
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Person | 62.4 | |
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Factory | 59.8 | |
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Person | 58.6 | |
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Person | 56.8 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
teacher | 67.8 | |
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educator | 54.8 | |
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professional | 41 | |
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adult | 35.4 | |
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person | 33.4 | |
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people | 30.6 | |
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man | 20.8 | |
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women | 19.8 | |
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dancer | 16.9 | |
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male | 16.3 | |
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dress | 15.3 | |
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life | 14.9 | |
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men | 14.6 | |
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room | 14.5 | |
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weapon | 14.2 | |
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performer | 14 | |
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happy | 13.8 | |
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interior | 13.3 | |
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lifestyle | 13 | |
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two | 12.7 | |
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couple | 12.2 | |
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group | 12.1 | |
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human | 12 | |
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health | 11.8 | |
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portrait | 11.6 | |
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student | 11.6 | |
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bow | 11.6 | |
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business | 11.5 | |
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bride | 11.5 | |
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wedding | 11 | |
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worker | 10.8 | |
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entertainer | 10.6 | |
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fashion | 10.5 | |
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indoors | 10.5 | |
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standing | 10.4 | |
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clothing | 10.3 | |
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groom | 10.3 | |
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love | 10.2 | |
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work | 10.2 | |
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day | 10.2 | |
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travel | 9.9 | |
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team | 9.8 | |
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activity | 9.8 | |
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pretty | 9.8 | |
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old | 9.7 | |
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wall | 9.4 | |
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happiness | 9.4 | |
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clothes | 9.4 | |
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casual | 9.3 | |
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hall | 9.1 | |
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indoor | 9.1 | |
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nurse | 9 | |
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looking | 8.8 | |
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together | 8.8 | |
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scene | 8.6 | |
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married | 8.6 | |
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elegance | 8.4 | |
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hand | 8.3 | |
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church | 8.3 | |
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businesswoman | 8.2 | |
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new | 8.1 | |
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smiling | 8 | |
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hair | 7.9 | |
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model | 7.8 | |
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sitting | 7.7 | |
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uniform | 7.7 | |
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modern | 7.7 | |
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attractive | 7.7 | |
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youth | 7.7 | |
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marriage | 7.6 | |
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city | 7.5 | |
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lady | 7.3 | |
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exercise | 7.3 | |
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tourist | 7.2 | |
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active | 7.2 | |
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home | 7.2 | |
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holiday | 7.2 | |
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instrument | 7 | |
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architecture | 7 | |
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Google
created on 2019-06-05
Photograph | 95.9 | |
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Room | 71.4 | |
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Vintage clothing | 53.5 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 54% |
Disgusted | 46.2% |
Surprised | 45.4% |
Angry | 46.4% |
Confused | 45.3% |
Sad | 49.7% |
Calm | 46.2% |
Happy | 45.7% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 53.8% |
Surprised | 45.6% |
Happy | 45.6% |
Confused | 45.4% |
Calm | 48.7% |
Disgusted | 47.5% |
Angry | 46.2% |
Sad | 46.1% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 52.8% |
Disgusted | 46.5% |
Confused | 45.3% |
Angry | 45.5% |
Sad | 45.4% |
Surprised | 45.6% |
Happy | 46.9% |
Calm | 49.9% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.2% |
Disgusted | 49.7% |
Confused | 49.6% |
Angry | 49.6% |
Calm | 49.6% |
Surprised | 49.6% |
Happy | 49.7% |
Sad | 49.8% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.5% |
Surprised | 45.3% |
Confused | 45.2% |
Happy | 45.3% |
Angry | 45.3% |
Calm | 52.1% |
Sad | 45.3% |
Disgusted | 46.6% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.1% |
Happy | 49.6% |
Disgusted | 49.6% |
Sad | 49.7% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.2% |
Calm | 49.6% |
Confused | 49.5% |
Sad | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Disgusted | 50.3% |
Angry | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Disgusted | 49.6% |
Calm | 49.7% |
Angry | 49.7% |
Sad | 49.7% |
Happy | 49.5% |
Surprised | 49.6% |
Confused | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Confused | 49.6% |
Calm | 49.9% |
Happy | 49.6% |
Surprised | 49.6% |
Sad | 49.7% |
Angry | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Sad | 49.8% |
Disgusted | 49.7% |
Surprised | 49.6% |
Happy | 49.7% |
Confused | 49.6% |
Angry | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 14-23 |
Gender | Male, 50.5% |
Disgusted | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Happy | 49.6% |
Calm | 49.7% |
Surprised | 49.6% |
Sad | 49.8% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Calm | 49.8% |
Angry | 49.5% |
Disgusted | 49.6% |
Sad | 49.7% |
Surprised | 49.6% |
Happy | 49.6% |
Confused | 49.8% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Disgusted | 49.6% |
Happy | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Confused | 49.5% |
Calm | 50% |
Sad | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Disgusted | 49.6% |
Surprised | 49.6% |
Angry | 49.6% |
Confused | 49.5% |
Sad | 49.6% |
Calm | 49.6% |
Happy | 50% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.4% |
Happy | 49.5% |
Calm | 49.9% |
Confused | 49.6% |
Angry | 49.7% |
Disgusted | 49.6% |
Sad | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.4% |
Sad | 49.6% |
Confused | 49.5% |
Calm | 49.6% |
Disgusted | 50.1% |
Happy | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
people portraits | 81.4% | |
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interior objects | 11.8% | |
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paintings art | 2.4% | |
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events parties | 2% | |
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food drinks | 1.3% | |
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Captions
Microsoft
created on 2019-06-05
a group of people performing on a counter | 80.1% | |
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a group of people standing in a room | 80% | |
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a group of people in a room | 79.9% | |
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Text analysis
Amazon

18L98

2LL,