Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-33 |
Gender | Female, 55.8% |
Surprised | 39.7% |
Fear | 34% |
Happy | 19.8% |
Sad | 2.4% |
Calm | 1.5% |
Disgusted | 1% |
Angry | 0.9% |
Confused | 0.6% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 100% |
Calm | 89.5% |
Sad | 5.1% |
Confused | 1.9% |
Surprised | 1.5% |
Disgusted | 0.6% |
Angry | 0.6% |
Fear | 0.5% |
Happy | 0.3% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 97.5% |
Fear | 99.7% |
Calm | 0.1% |
Sad | 0.1% |
Surprised | 0.1% |
Happy | 0% |
Disgusted | 0% |
Angry | 0% |
Confused | 0% |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

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

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
Captions
Microsoft
a vintage photo of a man | 89.9% | |
an old photo of a man | 88.7% | |
a vintage photo of a man sitting in a chair | 81.9% | |