Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 41-49 |
Gender | Male, 100% |
Angry | 54.6% |
Calm | 38.2% |
Surprised | 6.7% |
Fear | 6.4% |
Sad | 2.7% |
Disgusted | 2% |
Happy | 0.8% |
Confused | 0.6% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 92.2% |
Calm | 99.1% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Angry | 0.1% |
Disgusted | 0% |
Happy | 0% |
Confused | 0% |

Microsoft Cognitive Services
Age | 28 |
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 | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 26% | |
food drinks | 25.5% | |
paintings art | 22.6% | |
interior objects | 20.3% | |
text visuals | 2% | |
pets animals | 2% | |
Captions
Microsoft
created on 2022-05-21
a group of people in an old photo of a person | 57.2% | |
an old photo of a person | 57.1% | |
old photo of a person | 57% | |