Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-31 |
Gender | Male, 69.9% |
Calm | 69.8% |
Happy | 14.1% |
Confused | 6.6% |
Sad | 6.5% |
Disgusted | 1.1% |
Angry | 0.7% |
Fear | 0.7% |
Surprised | 0.4% |

AWS Rekognition
Age | 27-37 |
Gender | Female, 99.7% |
Calm | 70.7% |
Angry | 5.8% |
Happy | 4.8% |
Sad | 4.4% |
Confused | 3.9% |
Surprised | 3.8% |
Disgusted | 3.5% |
Fear | 3.1% |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 |
Feature analysis
Captions
Microsoft
a vintage photo of a person | 93.2% | |
a vintage photo of a person sitting on a table | 88.3% | |
a vintage photo of a person sitting at a table | 88.2% | |