Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-52 |
Gender | Male, 99.7% |
Disgusted | 1.9% |
Sad | 20.4% |
Confused | 63.4% |
Angry | 5% |
Surprised | 1.6% |
Calm | 6.6% |
Happy | 1.2% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 99.7% |
Confused | 6.7% |
Disgusted | 5.5% |
Surprised | 3.6% |
Sad | 6.9% |
Angry | 4.8% |
Happy | 54.6% |
Calm | 17.8% |

Microsoft Cognitive Services
Age | 49 |
Gender | Male |

Microsoft Cognitive Services
Age | 46 |
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 | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 97.5% | |
paintings art | 1.6% | |
pets animals | 0.3% | |
interior objects | 0.2% | |
food drinks | 0.2% | |
events parties | 0.1% | |
streetview architecture | 0.1% | |