Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 43-51 |
Gender | Male, 99.8% |
Calm | 75.5% |
Confused | 15.2% |
Sad | 4.5% |
Happy | 1.4% |
Disgusted | 1.3% |
Surprised | 0.9% |
Angry | 0.7% |
Fear | 0.5% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 100% |
Sad | 63.7% |
Calm | 34.8% |
Confused | 0.6% |
Angry | 0.5% |
Happy | 0.1% |
Surprised | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

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 | 38.9% | |
events parties | 27.4% | |
streetview architecture | 7.9% | |
text visuals | 7.3% | |
paintings art | 7.2% | |
sunrises sunsets | 3.6% | |
cars vehicles | 3.4% | |
food drinks | 2.9% | |
Captions
Microsoft
created on 2022-02-05
a store front at night | 84.5% | |
a sign above a store | 72.2% | |
a store front at day | 72.1% | |