Machine Generated Data
Tags
Amazon
created on 2019-06-01
Person | 99.4 | |
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Human | 99.4 | |
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Person | 98.4 | |
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Person | 97.5 | |
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Person | 96.9 | |
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Person | 95.5 | |
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Person | 94.3 | |
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Person | 94.2 | |
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Person | 92 | |
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Person | 91 | |
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Person | 90.1 | |
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Person | 89.7 | |
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Clothing | 86 | |
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Apparel | 86 | |
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Crowd | 84.4 | |
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Person | 84 | |
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Person | 71.2 | |
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Audience | 68.5 | |
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People | 64.2 | |
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Person | 62.9 | |
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Person | 59.5 | |
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Clinic | 55.7 | |
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LCD Screen | 55.6 | |
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Screen | 55.6 | |
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Electronics | 55.6 | |
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Display | 55.6 | |
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Monitor | 55.6 | |
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Person | 53.7 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
shoe shop | 61.3 | |
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shop | 57.3 | |
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mercantile establishment | 39.5 | |
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place of business | 26.9 | |
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interior | 24.7 | |
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table | 19 | |
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room | 18.5 | |
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clothing | 17 | |
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decor | 14.1 | |
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furniture | 13.6 | |
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establishment | 13.5 | |
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business | 13.3 | |
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chair | 13.3 | |
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design | 12.9 | |
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people | 12.8 | |
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house | 12.5 | |
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boutique | 12.4 | |
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window | 12.1 | |
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party | 12 | |
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luxury | 12 | |
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celebration | 11.9 | |
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restaurant | 11.6 | |
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case | 11.3 | |
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hall | 10.7 | |
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industry | 10.2 | |
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decoration | 10.2 | |
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brassiere | 9.9 | |
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modern | 9.8 | |
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group | 9.7 | |
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home | 9.6 | |
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empty | 9.4 | |
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store | 9.4 | |
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glass | 9.4 | |
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light | 9.3 | |
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elegance | 9.2 | |
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style | 8.9 | |
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women | 8.7 | |
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travel | 8.4 | |
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dinner | 8.4 | |
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floor | 8.4 | |
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fashion | 8.3 | |
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building | 8.2 | |
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salon | 8.2 | |
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woman's clothing | 8 | |
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undergarment | 8 | |
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indoors | 7.9 | |
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black | 7.8 | |
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structure | 7.8 | |
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ceremony | 7.8 | |
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crowd | 7.7 | |
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covering | 7.5 | |
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wood | 7.5 | |
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city | 7.5 | |
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technology | 7.4 | |
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service | 7.4 | |
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event | 7.4 | |
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garment | 7.4 | |
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man | 7.4 | |
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wedding | 7.4 | |
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metal | 7.2 | |
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architecture | 7 | |
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Google
created on 2019-06-01
Photograph | 96.2 | |
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Stock photography | 69.8 | |
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Black-and-white | 68.3 | |
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Event | 62.7 | |
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Crowd | 57.8 | |
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Monochrome photography | 57.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 93.4% |
Disgusted | 2% |
Sad | 2.4% |
Happy | 6.2% |
Confused | 1.4% |
Surprised | 2.7% |
Angry | 1.7% |
Calm | 83.6% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 54.5% |
Happy | 46.2% |
Surprised | 45.3% |
Angry | 45.3% |
Confused | 45.2% |
Calm | 46.7% |
Sad | 50.9% |
Disgusted | 45.4% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 52.9% |
Sad | 49.6% |
Happy | 45.8% |
Surprised | 45.2% |
Calm | 48.7% |
Disgusted | 45.1% |
Confused | 45.3% |
Angry | 45.3% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 51.2% |
Disgusted | 45.1% |
Sad | 46.3% |
Surprised | 45.3% |
Happy | 45.2% |
Angry | 45.4% |
Calm | 52.6% |
Confused | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 52.5% |
Angry | 45.1% |
Happy | 45.2% |
Confused | 45.1% |
Calm | 51.9% |
Surprised | 45.2% |
Sad | 47.3% |
Disgusted | 45.1% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 52.8% |
Surprised | 45.2% |
Disgusted | 45.1% |
Calm | 53.7% |
Happy | 45% |
Sad | 45.5% |
Angry | 45.3% |
Confused | 45.1% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 54.5% |
Calm | 53.9% |
Surprised | 45.1% |
Disgusted | 45.2% |
Happy | 45.2% |
Sad | 45.5% |
Confused | 45.1% |
Angry | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Calm | 49.9% |
Sad | 49.9% |
Angry | 49.5% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 54% |
Confused | 46.7% |
Surprised | 45.7% |
Angry | 45.3% |
Calm | 46.7% |
Disgusted | 45.2% |
Sad | 47.7% |
Happy | 47.7% |

AWS Rekognition
Age | 38-57 |
Gender | Female, 54.7% |
Disgusted | 45.1% |
Confused | 45.2% |
Surprised | 45.1% |
Calm | 45.1% |
Happy | 45.2% |
Angry | 45.1% |
Sad | 54.3% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 52% |
Confused | 45.3% |
Sad | 45.8% |
Calm | 52.1% |
Happy | 45.4% |
Surprised | 45.5% |
Disgusted | 45.2% |
Angry | 45.8% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 51.4% |
Happy | 45.2% |
Disgusted | 45.4% |
Angry | 45.6% |
Surprised | 45.3% |
Sad | 52.1% |
Calm | 46% |
Confused | 45.4% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 53% |
Confused | 45.7% |
Happy | 46.8% |
Surprised | 45.9% |
Angry | 45.9% |
Disgusted | 45.5% |
Calm | 48.4% |
Sad | 46.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Angry | 49.5% |
Sad | 49.7% |
Happy | 49.6% |
Calm | 50% |
Confused | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.6% |
Confused | 45.6% |
Angry | 45.5% |
Sad | 47.2% |
Calm | 49.7% |
Disgusted | 46.4% |
Happy | 45.2% |
Surprised | 45.3% |

AWS Rekognition
Age | 35-53 |
Gender | Female, 50.4% |
Sad | 50.3% |
Surprised | 49.5% |
Disgusted | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Happy | 49.5% |
Confused | 49.5% |
Feature analysis
Categories
Imagga
streetview architecture | 64.1% | |
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events parties | 12.4% | |
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cars vehicles | 5.8% | |
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beaches seaside | 5.7% | |
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people portraits | 5.3% | |
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pets animals | 2.6% | |
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interior objects | 1.2% | |
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nature landscape | 1.2% | |
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Captions
Microsoft
created on 2019-06-01
a group of people standing in front of a crowd | 87.8% | |
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a group of people standing in front of a crowd of people | 86.7% | |
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a group of people in front of a crowd | 86.6% | |
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Text analysis
Amazon

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