Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 38-59 |
Gender | Female, 99.4% |
Happy | 2.3% |
Confused | 0.6% |
Calm | 93.7% |
Disgusted | 0.3% |
Angry | 0.4% |
Sad | 2.2% |
Surprised | 0.5% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 95.8% |
Surprised | 4.4% |
Happy | 2.5% |
Confused | 5% |
Sad | 15.5% |
Disgusted | 2.7% |
Calm | 40.9% |
Angry | 28.9% |

Microsoft Cognitive Services
Age | 62 |
Gender | Female |

Microsoft Cognitive Services
Age | 70 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 |
Feature analysis
Amazon
Person | 99.2% | |
Captions
Microsoft
a man and a woman sitting at a table | 90.3% | |
a man and woman sitting at a table | 88.1% | |
a man and a woman sitting on a table | 80.6% | |