Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 45-53 |
| Gender | Male, 93.4% |
| Calm | 60.1% |
| Happy | 14.9% |
| Sad | 10.5% |
| Surprised | 9% |
| Confused | 2.4% |
| Disgusted | 1.5% |
| Angry | 1.2% |
| Fear | 0.3% |
AWS Rekognition
| Age | 0-4 |
| Gender | Male, 96.1% |
| Calm | 90.4% |
| Sad | 6% |
| Angry | 1.1% |
| Disgusted | 1% |
| Confused | 0.5% |
| Fear | 0.4% |
| Surprised | 0.3% |
| Happy | 0.3% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 26.9% | |
| food drinks | 26.8% | |
| cars vehicles | 20% | |
| streetview architecture | 15.3% | |
| people portraits | 4.3% | |
| events parties | 2.4% | |
| interior objects | 2.4% | |
Captions
Microsoft
created on 2022-02-26
| a person standing in front of a mirror posing for the camera | 31.3% | |
| a person standing in front of a mirror | 31.2% | |
| a person standing in front of a mirror posing for the camera | 31.1% | |
Text analysis
Amazon
