Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 27-37 |
Gender | Female, 100% |
Calm | 98% |
Sad | 1.2% |
Confused | 0.3% |
Surprised | 0.2% |
Fear | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 31-41 |
Gender | Female, 100% |
Calm | 84% |
Surprised | 7.3% |
Fear | 3.5% |
Confused | 3.4% |
Disgusted | 0.5% |
Angry | 0.5% |
Happy | 0.4% |
Sad | 0.4% |

AWS Rekognition
Age | 30-40 |
Gender | Female, 96.9% |
Calm | 99.5% |
Surprised | 0.1% |
Confused | 0.1% |
Angry | 0.1% |
Sad | 0.1% |
Happy | 0.1% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 51-59 |
Gender | Female, 99.8% |
Calm | 95.5% |
Angry | 4.1% |
Surprised | 0.2% |
Disgusted | 0.1% |
Sad | 0% |
Confused | 0% |
Fear | 0% |
Happy | 0% |

AWS Rekognition
Age | 41-49 |
Gender | Female, 100% |
Calm | 99.9% |
Happy | 0% |
Confused | 0% |
Disgusted | 0% |
Angry | 0% |
Sad | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 47-53 |
Gender | Female, 99.9% |
Calm | 99.5% |
Confused | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Angry | 0.1% |
Happy | 0.1% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 43-51 |
Gender | Female, 99.1% |
Calm | 98.7% |
Happy | 0.5% |
Confused | 0.3% |
Fear | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |
Surprised | 0.1% |
Angry | 0.1% |

AWS Rekognition
Age | 48-56 |
Gender | Female, 99.9% |
Calm | 99.9% |
Happy | 0% |
Confused | 0% |
Sad | 0% |
Disgusted | 0% |
Surprised | 0% |
Angry | 0% |
Fear | 0% |

Microsoft Cognitive Services
Age | 49 |
Gender | Female |

Microsoft Cognitive Services
Age | 31 |
Gender | Female |

Microsoft Cognitive Services
Age | 50 |
Gender | Female |

Microsoft Cognitive Services
Age | 49 |
Gender | Female |

Microsoft Cognitive Services
Age | 33 |
Gender | Female |

Microsoft Cognitive Services
Age | 54 |
Gender | Female |

Microsoft Cognitive Services
Age | 40 |
Gender | Female |

Microsoft Cognitive Services
Age | 34 |
Gender | Female |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | 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 | 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 |
Feature analysis
Categories
Imagga
people portraits | 99.9% | |
Captions
Microsoft
created on 2022-01-23
Bessie Coleman et al. posing for a photo | 99% | |
Bessie Coleman et al. posing for the camera | 98.9% | |
Bessie Coleman et al. posing for a picture | 98.8% | |