Machine Generated Data
Tags
Amazon
created on 2019-06-04
Chair | 99.7 | |
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Furniture | 99.7 | |
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Chair | 99.6 | |
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Chair | 99.4 | |
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Chair | 99.2 | |
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Chair | 99 | |
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School | 98.9 | |
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Room | 98.9 | |
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Indoors | 98.9 | |
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Classroom | 98.9 | |
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Chair | 98.6 | |
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Chair | 98 | |
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Person | 95.3 | |
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Human | 95.3 | |
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Chair | 92.6 | |
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Person | 91.2 | |
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Person | 87.8 | |
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Person | 86 | |
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Person | 82.2 | |
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Person | 81.2 | |
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Person | 75.8 | |
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Person | 75.6 | |
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Chair | 65 | |
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Person | 63.4 | |
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Chair | 59.4 | |
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Interior Design | 55.4 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
hall | 97.6 | |
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room | 70.4 | |
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chair | 53.2 | |
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table | 51.6 | |
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interior | 49.5 | |
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classroom | 46.5 | |
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furniture | 37.9 | |
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dining | 27.6 | |
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house | 26.7 | |
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seat | 25.1 | |
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restaurant | 25.1 | |
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chairs | 24.5 | |
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floor | 24.2 | |
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decor | 23.9 | |
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blackboard | 22.9 | |
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modern | 21.7 | |
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wood | 21.7 | |
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home | 21.5 | |
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window | 21.1 | |
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indoor | 20.1 | |
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design | 18.6 | |
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indoors | 18.4 | |
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glass | 17.9 | |
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empty | 17.2 | |
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dinner | 16.8 | |
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inside | 15.6 | |
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style | 14.8 | |
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wall | 13.8 | |
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luxury | 13.7 | |
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food | 13.3 | |
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architecture | 13.3 | |
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contemporary | 13.2 | |
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lunch | 12.9 | |
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tables | 12.8 | |
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kitchen | 12.5 | |
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wooden | 12.3 | |
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eat | 11.7 | |
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nobody | 11.7 | |
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apartment | 11.5 | |
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lamp | 11.4 | |
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light | 11.4 | |
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urban | 11.4 | |
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plant | 11.2 | |
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decoration | 10.7 | |
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residential | 10.5 | |
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hotel | 10.5 | |
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group | 10.5 | |
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living | 10.4 | |
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day | 10.2 | |
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drink | 10 | |
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comfortable | 9.5 | |
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lifestyle | 9.4 | |
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flower | 9.2 | |
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city | 9.1 | |
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stove | 8.9 | |
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3d | 8.5 | |
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desk | 8.5 | |
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elegance | 8.4 | |
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relaxation | 8.4 | |
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people | 8.4 | |
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coffee | 8.3 | |
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event | 8.3 | |
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meal | 8.1 | |
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business | 7.9 | |
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elegant | 7.7 | |
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sofa | 7.7 | |
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relax | 7.6 | |
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life | 7.5 | |
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place | 7.4 | |
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wine | 7.4 | |
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metal | 7.2 | |
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structure | 7.1 | |
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sunlight | 7.1 | |
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steel | 7.1 | |
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Google
created on 2019-06-04
Room | 83.9 | |
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Table | 78.3 | |
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Function hall | 76.1 | |
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Event | 62.7 | |
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Furniture | 53.3 | |
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Microsoft
created on 2019-06-04
floor | 99.6 | |
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chair | 97 | |
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furniture | 96.4 | |
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indoor | 89.4 | |
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person | 81.3 | |
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clothing | 66.6 | |
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old | 58.3 | |
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table | 31.8 | |
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dining table | 23.4 | |
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dining room | 13.9 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 10-15 |
Gender | Male, 54% |
Confused | 45% |
Angry | 45% |
Surprised | 45% |
Sad | 45.1% |
Disgusted | 45% |
Calm | 54.5% |
Happy | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.1% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 49.9% |
Disgusted | 49.5% |
Calm | 50.1% |
Angry | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 53% |
Calm | 45.1% |
Confused | 45.1% |
Sad | 54% |
Angry | 45.1% |
Happy | 45.6% |
Disgusted | 45.1% |
Surprised | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.9% |
Angry | 45.1% |
Calm | 45.1% |
Sad | 54.7% |
Disgusted | 45% |
Happy | 45% |
Confused | 45% |
Surprised | 45% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Calm | 49.9% |
Disgusted | 49.5% |
Angry | 49.6% |
Sad | 49.9% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 60-90 |
Gender | Female, 54.3% |
Happy | 45.2% |
Surprised | 45.2% |
Calm | 47.2% |
Confused | 45.3% |
Disgusted | 45.2% |
Angry | 46.7% |
Sad | 50.1% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.2% |
Confused | 49.5% |
Sad | 50.3% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 51.3% |
Sad | 51.1% |
Angry | 47.1% |
Happy | 45.5% |
Confused | 45.3% |
Surprised | 45.3% |
Disgusted | 45.4% |
Calm | 45.4% |

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

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Calm | 49.6% |
Disgusted | 49.5% |
Angry | 49.7% |
Sad | 49.7% |
Happy | 49.9% |
Confused | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 50% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50% |
Calm | 49.8% |
Confused | 49.5% |
Disgusted | 49.6% |
Angry | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.3% |
Happy | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Sad | 50% |
Confused | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 53.3% |
Disgusted | 45.3% |
Sad | 51.9% |
Calm | 45.4% |
Happy | 45.5% |
Confused | 45.3% |
Surprised | 45.5% |
Angry | 46.2% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Confused | 49.6% |
Disgusted | 49.6% |
Happy | 49.5% |
Calm | 49.7% |
Surprised | 49.5% |
Sad | 50% |
Angry | 49.6% |
Feature analysis
Categories
Imagga
people portraits | 66.4% | |
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interior objects | 28.6% | |
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events parties | 3.3% | |
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Captions
Microsoft
created on 2019-06-04
a group of people sitting at a dining room table | 87.8% | |
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a group of people sitting at a table in a room | 86.8% | |
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a group of people sitting in a chair in a room | 86.1% | |
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