Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
kin | 26.1 | |
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person | 20.1 | |
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sculpture | 17.7 | |
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adult | 17.5 | |
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man | 16.8 | |
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people | 16.7 | |
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statue | 16.6 | |
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dress | 14.5 | |
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male | 14.3 | |
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portrait | 14.2 | |
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architecture | 14.1 | |
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monument | 13.1 | |
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teacher | 13.1 | |
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attractive | 12.6 | |
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room | 12.3 | |
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art | 12.1 | |
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old | 11.8 | |
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sitting | 11.2 | |
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women | 11.1 | |
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love | 11 | |
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happiness | 11 | |
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fashion | 10.6 | |
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human | 10.5 | |
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couple | 10.5 | |
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one | 10.4 | |
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black | 10.2 | |
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educator | 9.9 | |
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building | 9.8 | |
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lady | 9.7 | |
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antique | 9.6 | |
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ancient | 9.5 | |
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historical | 9.4 | |
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model | 9.3 | |
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face | 9.2 | |
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historic | 9.2 | |
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travel | 9.2 | |
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holding | 9.1 | |
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history | 8.9 | |
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family | 8.9 | |
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marble | 8.8 | |
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sexy | 8.8 | |
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bride | 8.6 | |
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culture | 8.5 | |
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pretty | 8.4 | |
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elegance | 8.4 | |
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city | 8.3 | |
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vintage | 8.3 | |
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tourism | 8.2 | |
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detail | 8 | |
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romantic | 8 | |
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body | 8 | |
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home | 8 | |
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lifestyle | 7.9 | |
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hair | 7.9 | |
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two | 7.6 | |
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world | 7.6 | |
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stone | 7.6 | |
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relaxation | 7.5 | |
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house | 7.5 | |
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happy | 7.5 | |
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famous | 7.4 | |
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alone | 7.3 | |
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sensuality | 7.3 | |
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parent | 7.2 | |
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professional | 7.2 | |
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dancer | 7.1 | |
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stringed instrument | 7 | |
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Google
created on 2019-06-05
People | 95.5 | |
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Family | 68.3 | |
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Art | 62.5 | |
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Vintage clothing | 62.5 | |
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Visual arts | 59.3 | |
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History | 54.1 | |
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Sitting | 54.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 38-57 |
Gender | Male, 53.8% |
Angry | 45.7% |
Sad | 49.3% |
Disgusted | 45.6% |
Happy | 45.7% |
Confused | 45.7% |
Calm | 46.9% |
Surprised | 46.1% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 54.3% |
Calm | 50.9% |
Disgusted | 45.1% |
Happy | 45.2% |
Surprised | 45.1% |
Sad | 48.1% |
Angry | 45.3% |
Confused | 45.3% |

AWS Rekognition
Age | 6-13 |
Gender | Female, 51.9% |
Confused | 45.2% |
Calm | 45.3% |
Angry | 50.8% |
Surprised | 45.1% |
Sad | 48.4% |
Happy | 45.1% |
Disgusted | 45.2% |

AWS Rekognition
Age | 29-45 |
Gender | Male, 98.5% |
Calm | 3.5% |
Disgusted | 53.9% |
Sad | 8.2% |
Happy | 10.8% |
Confused | 5.1% |
Surprised | 4.8% |
Angry | 13.8% |

AWS Rekognition
Age | 27-44 |
Gender | Male, 54.8% |
Angry | 46.9% |
Calm | 49.8% |
Surprised | 45.2% |
Disgusted | 45.1% |
Happy | 45.1% |
Sad | 47% |
Confused | 45.8% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.6% |
Sad | 46.4% |
Disgusted | 45.1% |
Surprised | 45.1% |
Happy | 45.1% |
Confused | 45.1% |
Calm | 52.6% |
Angry | 45.6% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 54.4% |
Surprised | 45.5% |
Sad | 46.6% |
Angry | 46.6% |
Happy | 46.3% |
Confused | 45.3% |
Disgusted | 45.4% |
Calm | 49.2% |

AWS Rekognition
Age | 10-15 |
Gender | Female, 52.1% |
Calm | 49.4% |
Angry | 45.6% |
Sad | 48.1% |
Happy | 45.6% |
Confused | 45.3% |
Surprised | 45.5% |
Disgusted | 45.4% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 54.8% |
Sad | 45.7% |
Disgusted | 45.2% |
Happy | 45.5% |
Angry | 45.9% |
Surprised | 45.6% |
Calm | 51.5% |
Confused | 45.7% |

Microsoft Cognitive Services
Age | 37 |
Gender | Male |

Microsoft Cognitive Services
Age | 54 |
Gender | Male |

Microsoft Cognitive Services
Age | 52 |
Gender | Male |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 22 |
Gender | Male |

Microsoft Cognitive Services
Age | 47 |
Gender | Female |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Female |

Microsoft Cognitive Services
Age | 29 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Likely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 51.6% | |
| ||
events parties | 26.6% | |
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interior objects | 6% | |
| ||
pets animals | 5.8% | |
| ||
paintings art | 4.5% | |
| ||
streetview architecture | 2.9% | |
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food drinks | 1.6% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people posing for a photo | 93.1% | |
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a group of people posing for the camera | 93% | |
| ||
a group of people posing for a picture | 92.9% | |
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