Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 31-41 |
| Gender | Male, 77.8% |
| Calm | 73.6% |
| Confused | 9.3% |
| Sad | 4.2% |
| Disgusted | 4% |
| Angry | 2.9% |
| Fear | 2.8% |
| Happy | 1.8% |
| Surprised | 1.5% |
AWS Rekognition
| Age | 45-51 |
| Gender | Male, 80.1% |
| Calm | 82.2% |
| Surprised | 7.9% |
| Sad | 6.8% |
| Confused | 0.9% |
| Happy | 0.8% |
| Disgusted | 0.7% |
| Fear | 0.5% |
| Angry | 0.2% |
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
Amazon
| Person | 98.8% | |
Categories
Imagga
| streetview architecture | 88.1% | |
| interior objects | 10.3% | |
| paintings art | 1.2% | |
Captions
Microsoft
created on 2022-01-23
| a man and a woman standing in front of a mirror | 44.4% | |
| a man and a woman standing in front of a building | 44.3% | |
| a person standing in front of a mirror posing for the camera | 44.2% | |
Text analysis
Amazon
