Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 19-27 |
Gender | Male, 100% |
Happy | 84.8% |
Calm | 10.8% |
Confused | 1.7% |
Sad | 0.7% |
Disgusted | 0.6% |
Angry | 0.5% |
Fear | 0.5% |
Surprised | 0.4% |

AWS Rekognition
Age | 0-4 |
Gender | Female, 82.6% |
Calm | 98.4% |
Fear | 0.9% |
Happy | 0.2% |
Surprised | 0.2% |
Confused | 0.1% |
Sad | 0.1% |
Disgusted | 0.1% |
Angry | 0% |

Microsoft Cognitive Services
Age | 30 |
Gender | Male |

Microsoft Cognitive Services
Age | 3 |
Gender | Male |

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 | Likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 97.6% | |
Captions
Microsoft
a vintage photo of a person standing posing for the camera | 93.9% | |
a vintage photo of a man and woman posing for a picture | 83.3% | |
a vintage photo of a man and a woman posing for a picture | 83.2% | |