Machine Generated Data
Tags
Amazon
created on 2019-06-05
Restaurant | 99.5 | |
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Person | 99.4 | |
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Human | 99.4 | |
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Furniture | 98.5 | |
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Chair | 98.5 | |
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Person | 97.9 | |
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Person | 96 | |
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Person | 95.8 | |
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Cafeteria | 95.4 | |
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Person | 95 | |
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Person | 94.1 | |
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Person | 89.3 | |
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Indoors | 88.2 | |
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Room | 88.2 | |
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Person | 87.3 | |
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Person | 85.3 | |
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Person | 82.9 | |
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Classroom | 80 | |
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School | 80 | |
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Person | 77.7 | |
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Cafe | 77.5 | |
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Painting | 72.4 | |
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Art | 72.4 | |
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Chair | 60.8 | |
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Food | 58.7 | |
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Meal | 58.7 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
room | 39.9 | |
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interior | 28.3 | |
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brass | 24.5 | |
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table | 24.3 | |
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chair | 23.8 | |
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musical instrument | 23.4 | |
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classroom | 23.4 | |
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house | 22.6 | |
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wind instrument | 21.3 | |
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architecture | 21.1 | |
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city | 16.6 | |
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hall | 16.5 | |
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home | 15.1 | |
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indoors | 14.9 | |
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people | 14.5 | |
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building | 14.5 | |
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window | 13.7 | |
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bowed stringed instrument | 13.7 | |
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cornet | 13.4 | |
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inside | 12.9 | |
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chairs | 12.7 | |
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furniture | 12.5 | |
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stringed instrument | 11.9 | |
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modern | 11.9 | |
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restaurant | 11.7 | |
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comfortable | 11.4 | |
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floor | 11.1 | |
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old | 11.1 | |
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freight car | 10.8 | |
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design | 10.7 | |
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luxury | 10.3 | |
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light | 10 | |
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car | 9.9 | |
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tourism | 9.9 | |
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seat | 9.8 | |
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decor | 9.7 | |
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business | 9.7 | |
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center | 9.5 | |
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man | 9.4 | |
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glass | 9.3 | |
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violin | 9.3 | |
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wood | 9.2 | |
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indoor | 9.1 | |
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history | 8.9 | |
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style | 8.9 | |
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empty | 8.6 | |
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wall | 8.5 | |
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grunge | 8.5 | |
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travel | 8.4 | |
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dinner | 8.4 | |
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sky | 8.3 | |
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vintage | 8.3 | |
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night | 8 | |
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urban | 7.9 | |
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scene | 7.8 | |
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space | 7.7 | |
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residential | 7.6 | |
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lamp | 7.6 | |
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wheeled vehicle | 7.6 | |
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cityscape | 7.6 | |
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buildings | 7.5 | |
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elegance | 7.5 | |
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device | 7.4 | |
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life | 7.2 | |
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family | 7.1 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Female, 51.1% |
Angry | 48.2% |
Sad | 46.7% |
Calm | 46.4% |
Surprised | 45.5% |
Confused | 45.4% |
Disgusted | 46.4% |
Happy | 46.5% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 52.5% |
Calm | 45.3% |
Happy | 45.1% |
Confused | 45.1% |
Sad | 54.4% |
Angry | 45.1% |
Surprised | 45% |
Disgusted | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.5% |
Sad | 52.5% |
Happy | 45.1% |
Surprised | 45.2% |
Disgusted | 45.5% |
Confused | 45.2% |
Calm | 46% |
Angry | 45.4% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.6% |
Disgusted | 47.9% |
Sad | 50.8% |
Calm | 45.4% |
Surprised | 45.1% |
Angry | 45.2% |
Happy | 45.2% |
Confused | 45.3% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 53.2% |
Disgusted | 45.1% |
Confused | 45.1% |
Sad | 53.6% |
Angry | 45.1% |
Happy | 46% |
Surprised | 45.1% |
Calm | 45.2% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 53.5% |
Sad | 52.1% |
Confused | 45.3% |
Angry | 45.6% |
Calm | 46.5% |
Surprised | 45.3% |
Happy | 45.1% |
Disgusted | 45.2% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 53.8% |
Happy | 45.4% |
Sad | 49% |
Surprised | 45.4% |
Angry | 46.7% |
Calm | 46.5% |
Disgusted | 46.6% |
Confused | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Surprised | 49.5% |
Disgusted | 49.6% |
Angry | 49.7% |
Sad | 49.8% |
Happy | 49.7% |
Confused | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 45-63 |
Gender | Female, 50.2% |
Surprised | 49.5% |
Happy | 49.6% |
Confused | 49.5% |
Calm | 49.6% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 50% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Sad | 50.2% |
Angry | 49.5% |
Disgusted | 49.6% |
Surprised | 49.5% |
Happy | 49.6% |
Calm | 49.6% |
Confused | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.3% |
Happy | 49.6% |
Disgusted | 50.1% |
Sad | 49.6% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Angry | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 53.4% |
Calm | 45.3% |
Happy | 47.3% |
Confused | 45.5% |
Sad | 45.8% |
Angry | 49.7% |
Surprised | 45.8% |
Disgusted | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Angry | 49.6% |
Disgusted | 49.6% |
Calm | 49.7% |
Surprised | 49.6% |
Happy | 49.5% |
Sad | 49.8% |
Confused | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Calm | 49.6% |
Angry | 49.6% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 50.2% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 50.4% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.4% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Sad | 50.1% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Angry | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 36.3% | |
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streetview architecture | 35.7% | |
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food drinks | 12.1% | |
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interior objects | 3.7% | |
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text visuals | 2.8% | |
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cars vehicles | 1.9% | |
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people portraits | 1.9% | |
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beaches seaside | 1.7% | |
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nature landscape | 1.6% | |
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pets animals | 1.3% | |
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Captions
Microsoft
created on 2019-06-05
a group of people in an old photo of a person | 89.4% | |
| ||
a group of people sitting in front of a building | 89.3% | |
| ||
a group of people in a room | 89.2% | |
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Text analysis
Amazon

evening

An

librory

An evening in the librory

the

in

An evening in the library

An

evening

in

the

library