Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 27-44 |
Gender | Female, 78.3% |
Angry | 31.6% |
Disgusted | 2.2% |
Happy | 0.7% |
Confused | 14.1% |
Sad | 1.4% |
Surprised | 14.8% |
Calm | 35.3% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 83.6% |
Happy | 1.1% |
Surprised | 46.1% |
Sad | 4.2% |
Confused | 5.2% |
Calm | 11.2% |
Angry | 18.7% |
Disgusted | 13.6% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 70.1% |
Sad | 18.5% |
Disgusted | 2.8% |
Calm | 16.4% |
Angry | 5.2% |
Happy | 4.4% |
Confused | 3% |
Surprised | 49.7% |

Microsoft Cognitive Services
Age | 6 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 93% | |
Captions
Microsoft
a close up of text on a black background | 41.6% | |
a close up of text on a white background | 41.5% | |
a close up of text on a black surface | 41.4% | |