Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 27-37 |
Gender | Female, 55.9% |
Surprised | 33.4% |
Happy | 28.3% |
Calm | 21.7% |
Fear | 6% |
Sad | 4.5% |
Angry | 2.3% |
Disgusted | 2.3% |
Confused | 1.5% |

AWS Rekognition
Age | 39-47 |
Gender | Female, 99.4% |
Happy | 73.7% |
Calm | 12.2% |
Surprised | 7% |
Sad | 2.9% |
Disgusted | 1.6% |
Angry | 1.3% |
Confused | 0.9% |
Fear | 0.4% |

AWS Rekognition
Age | 36-44 |
Gender | Male, 84.2% |
Calm | 84.9% |
Happy | 11.1% |
Confused | 1.2% |
Disgusted | 1.1% |
Surprised | 0.6% |
Fear | 0.4% |
Sad | 0.4% |
Angry | 0.3% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 79.2% |
Calm | 98.5% |
Sad | 0.9% |
Surprised | 0.4% |
Fear | 0.1% |
Confused | 0.1% |
Disgusted | 0% |
Happy | 0% |
Angry | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 98.6% |
Calm | 93.3% |
Surprised | 5.6% |
Disgusted | 0.3% |
Confused | 0.3% |
Happy | 0.2% |
Fear | 0.2% |
Angry | 0.1% |
Sad | 0.1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 72.9% |
Calm | 89.2% |
Surprised | 6% |
Happy | 1.8% |
Fear | 0.7% |
Confused | 0.7% |
Disgusted | 0.6% |
Sad | 0.5% |
Angry | 0.4% |

AWS Rekognition
Age | 52-60 |
Gender | Male, 95% |
Calm | 99.8% |
Disgusted | 0.1% |
Confused | 0% |
Surprised | 0% |
Sad | 0% |
Happy | 0% |
Fear | 0% |
Angry | 0% |

AWS Rekognition
Age | 45-51 |
Gender | Male, 99.9% |
Calm | 99.9% |
Sad | 0% |
Disgusted | 0% |
Surprised | 0% |
Confused | 0% |
Happy | 0% |
Fear | 0% |
Angry | 0% |

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 | 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 | Very unlikely |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Feature analysis
Categories
Imagga
interior objects | 92.3% | |
people portraits | 2.5% | |
food drinks | 1.5% | |
paintings art | 1.3% | |
events parties | 1.1% | |
Captions
Microsoft
created on 2022-01-09
a vintage photo of a group of people posing for the camera | 82.5% | |
a vintage photo of a group of people posing for a picture | 82.4% | |
a vintage photo of a group of people in a room | 82.3% | |