Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 18-26 |
Gender | Female, 100% |
Happy | 71.5% |
Calm | 16.1% |
Surprised | 9.8% |
Fear | 6.2% |
Disgusted | 2.6% |
Sad | 2.3% |
Confused | 2.2% |
Angry | 0.8% |

AWS Rekognition
Age | 2-10 |
Gender | Female, 97.3% |
Calm | 92.1% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 5.4% |
Confused | 0.4% |
Angry | 0.2% |
Disgusted | 0.1% |
Happy | 0.1% |

Microsoft Cognitive Services
Age | 42 |
Gender | Male |

Microsoft Cognitive Services
Age | 5 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
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
Categories
Imagga
interior objects | 56% | |
people portraits | 23.8% | |
paintings art | 11.2% | |
pets animals | 7.1% | |
food drinks | 1.2% | |