Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 20-38 |
Gender | Female, 99.7% |
Sad | 26.3% |
Disgusted | 6.6% |
Confused | 6.2% |
Happy | 4.7% |
Angry | 8.1% |
Calm | 44.9% |
Surprised | 3.1% |

AWS Rekognition
Age | 35-55 |
Gender | Female, 65.4% |
Confused | 4.6% |
Angry | 12.4% |
Sad | 34.1% |
Calm | 28.6% |
Disgusted | 8.1% |
Surprised | 5.1% |
Happy | 7.2% |

AWS Rekognition
Age | 57-77 |
Gender | Male, 96.6% |
Confused | 67.2% |
Angry | 11.5% |
Disgusted | 4% |
Sad | 3.6% |
Calm | 6% |
Happy | 1.6% |
Surprised | 6.1% |

Microsoft Cognitive Services
Age | 61 |
Gender | Male |

Microsoft Cognitive Services
Age | 28 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
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 | 37.3% | |
nature landscape | 19.7% | |
food drinks | 10.2% | |
interior objects | 9.2% | |
people portraits | 6.8% | |
pets animals | 5.4% | |
text visuals | 5% | |
paintings art | 4.2% | |
streetview architecture | 1.6% | |