Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.9% |
Sad | 89.2% |
Calm | 49.7% |
Surprised | 7% |
Fear | 6.1% |
Angry | 3.8% |
Confused | 1.9% |
Happy | 0.6% |
Disgusted | 0.6% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 100% |
Sad | 100% |
Calm | 7.5% |
Surprised | 6.5% |
Fear | 5.9% |
Confused | 1.2% |
Happy | 0.4% |
Disgusted | 0.2% |
Angry | 0.2% |

Microsoft Cognitive Services
Age | 44 |
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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 76% | |
pets animals | 9.2% | |
streetview architecture | 6.2% | |
paintings art | 4.6% | |
people portraits | 1.3% | |
text visuals | 1.1% | |
interior objects | 0.9% | |
food drinks | 0.6% | |
nature landscape | 0.1% | |
macro flowers | 0.1% | |