Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 61-71 |
Gender | Male, 100% |
Calm | 93.7% |
Happy | 1.9% |
Surprised | 1.5% |
Angry | 1.3% |
Disgusted | 0.7% |
Confused | 0.5% |
Fear | 0.3% |
Sad | 0.2% |

AWS Rekognition
Age | 53-61 |
Gender | Female, 99.1% |
Calm | 78.4% |
Surprised | 5.5% |
Disgusted | 5.2% |
Sad | 3.2% |
Confused | 2.8% |
Fear | 1.7% |
Angry | 1.6% |
Happy | 1.6% |

Microsoft Cognitive Services
Age | 67 |
Gender | Male |

Microsoft Cognitive Services
Age | 58 |
Gender | Female |

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 | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 26.3% | |
food drinks | 22.4% | |
interior objects | 19.3% | |
paintings art | 17.6% | |
text visuals | 7.6% | |
events parties | 3.6% | |
pets animals | 2.1% | |
Captions
Microsoft
created on 2022-02-25
Francoise Dolto et al. sitting posing for the camera | 93.5% | |
Francoise Dolto et al. posing for a photo | 92.6% | |
Francoise Dolto et al. sitting posing for a photo | 90.9% | |