Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-51 |
| Gender | Male, 90.8% |
| Sad | 59.5% |
| Calm | 15.8% |
| Happy | 10.1% |
| Angry | 7.4% |
| Confused | 5.1% |
| Fear | 1.6% |
| Disgusted | 0.3% |
| Surprised | 0.2% |
AWS Rekognition
| Age | 22-34 |
| Gender | Female, 72% |
| Calm | 75.4% |
| Happy | 12.9% |
| Sad | 10.9% |
| Angry | 0.5% |
| Confused | 0.2% |
| Fear | 0.1% |
| Disgusted | 0.1% |
| Surprised | 0% |
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 59.8% |
| Calm | 94.6% |
| Sad | 2.5% |
| Happy | 1.7% |
| Confused | 0.5% |
| Surprised | 0.3% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Fear | 0.1% |
Feature analysis
Amazon
| Person | 99.4% | |
Categories
Imagga
| interior objects | 46.5% | |
| paintings art | 42.2% | |
| streetview architecture | 9.2% | |
| people portraits | 1.5% | |
Captions
Microsoft
created on 2021-12-14
| a man and a woman standing in front of a building | 60.8% | |
| a person standing in front of a building | 60.7% | |
| a man and woman standing in front of a building | 49.4% | |
Text analysis
Amazon
