Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 54-62 |
Gender | Male, 100% |
Calm | 99.9% |
Surprised | 0.1% |
Confused | 0% |
Sad | 0% |
Happy | 0% |
Angry | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 99.9% |
Sad | 93.3% |
Calm | 2.7% |
Disgusted | 1.4% |
Fear | 1.2% |
Surprised | 0.5% |
Confused | 0.5% |
Angry | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 81.4% |
Sad | 61% |
Calm | 29.4% |
Fear | 4% |
Angry | 2.5% |
Happy | 1% |
Disgusted | 0.9% |
Surprised | 0.6% |
Confused | 0.6% |

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
interior objects | 72.4% | |
cars vehicles | 16% | |
events parties | 5.7% | |
text visuals | 3.9% | |
food drinks | 1.1% | |