Machine Generated Data
Tags
Amazon
created on 2019-06-06
Human | 99.1 | |
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Person | 99.1 | |
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Person | 98.7 | |
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Person | 97.8 | |
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Person | 96.4 | |
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Person | 96.4 | |
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Person | 95.9 | |
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Person | 95.2 | |
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Person | 91.7 | |
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Person | 91 | |
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Person | 88 | |
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Person | 82.6 | |
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Building | 81.3 | |
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Advertisement | 78.5 | |
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Poster | 78.5 | |
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People | 77.5 | |
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Person | 75.2 | |
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Nature | 71.3 | |
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Text | 71 | |
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Outdoors | 70.5 | |
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Urban | 70.5 | |
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Person | 65.2 | |
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Person | 63.7 | |
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Housing | 60.7 | |
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Art | 59.5 | |
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Drawing | 59.5 | |
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Crowd | 56 | |
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Person | 51.2 | |
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Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
Google
created on 2019-06-06
History | 69.9 | |
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Illustration | 68.1 | |
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Adaptation | 67 | |
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Paper product | 65.2 | |
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Photographic paper | 57.6 | |
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House | 53.7 | |
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Art | 50.2 | |
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Microsoft
created on 2019-06-06
house | 94.2 | |
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text | 93.7 | |
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envelope | 48.3 | |
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businesscard | 44.8 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.2% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.9% |
Confused | 49.5% |
Calm | 50% |
Disgusted | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Happy | 49.7% |
Calm | 49.6% |
Sad | 49.9% |
Surprised | 49.6% |
Angry | 49.6% |
Confused | 49.6% |
Disgusted | 49.5% |

AWS Rekognition
Age | 2-5 |
Gender | Female, 50.4% |
Calm | 49.6% |
Sad | 49.7% |
Happy | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Disgusted | 50% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 50.3% |
Happy | 49.6% |
Sad | 49.5% |
Calm | 49.5% |
Disgusted | 49.5% |

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

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Happy | 49.6% |
Sad | 50% |
Confused | 49.6% |
Calm | 49.7% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Angry | 49.6% |
Calm | 49.6% |
Surprised | 49.6% |
Sad | 50% |
Disgusted | 49.6% |
Happy | 49.6% |
Confused | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50% |
Angry | 49.6% |
Sad | 49.7% |
Disgusted | 49.5% |
Calm | 50% |
Surprised | 49.5% |
Confused | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 14-23 |
Gender | Female, 50.2% |
Angry | 49.5% |
Happy | 49.6% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Surprised | 49.5% |
Sad | 50.1% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 50.2% |
Angry | 49.7% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Calm | 50% |
Sad | 49.7% |
Confused | 49.6% |
Angry | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Confused | 49.5% |
Calm | 49.7% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 50.2% |
Angry | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Angry | 49.7% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 49.7% |
Happy | 49.9% |
Confused | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.4% |
Calm | 49.6% |
Sad | 49.9% |
Surprised | 49.5% |
Angry | 49.9% |
Happy | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.4% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 50.2% |
Angry | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.2% |
Angry | 49.8% |
Happy | 49.6% |
Confused | 49.6% |
Surprised | 49.6% |
Sad | 49.7% |
Disgusted | 49.7% |
Calm | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Happy | 49.6% |
Disgusted | 49.5% |
Surprised | 49.7% |
Sad | 49.6% |
Confused | 49.7% |
Angry | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Disgusted | 49.7% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 50.2% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 50.4% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.6% |
Sad | 50% |
Surprised | 49.5% |
Confused | 49.6% |
Disgusted | 49.6% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 50.2% |
Angry | 49.6% |
Happy | 49.5% |
Calm | 50.1% |
Confused | 49.5% |
Sad | 49.7% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 15-25 |
Gender | Male, 50.4% |
Confused | 49.5% |
Happy | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Angry | 49.6% |
Sad | 50.1% |
Disgusted | 49.5% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.4% |
Calm | 50% |
Confused | 49.6% |
Happy | 49.6% |
Disgusted | 49.6% |
Sad | 49.6% |
Angry | 49.6% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 50% |
Surprised | 49.6% |
Confused | 49.5% |
Sad | 49.7% |
Feature analysis
Categories
Imagga
paintings art | 34.9% | |
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streetview architecture | 27.7% | |
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nature landscape | 23.5% | |
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beaches seaside | 6% | |
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cars vehicles | 4% | |
| ||
text visuals | 1.8% | |
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pets animals | 1.1% | |
|
Captions
Microsoft
created on 2019-06-06
a close up of text on a white surface | 39.4% | |
| ||
a close up of text on a white background | 39.3% | |
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a close up of text on a black surface | 39.2% | |
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Text analysis
Amazon

Trois

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Euvre des Trois Semaines, Le Goûter.-Cour de la Clé des Champs.-Le Chålet

Euvre

Goûter.-Cour

de

des

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