Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 17-27 |
| Gender | Female, 50.2% |
| Calm | 49.5% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Sad | 49.9% |
| Confused | 49.5% |
| Happy | 50.1% |
AWS Rekognition
| Age | 16-27 |
| Gender | Female, 50.1% |
| Angry | 49.7% |
| Calm | 49.8% |
| Sad | 49.9% |
| Happy | 49.5% |
| Confused | 49.5% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 50.2% |
| Sad | 49.8% |
| Disgusted | 49.5% |
| Angry | 49.6% |
| Calm | 49.8% |
| Surprised | 49.5% |
| Happy | 49.6% |
| Confused | 49.5% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 53.6% |
| Happy | 45.6% |
| Sad | 45.6% |
| Calm | 51.6% |
| Confused | 45.8% |
| Disgusted | 45.2% |
| Surprised | 45.6% |
| Angry | 45.6% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Angry | 49.6% |
| Surprised | 49.7% |
| Happy | 49.5% |
| Sad | 49.7% |
| Calm | 49.9% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 50.3% |
| Disgusted | 50.1% |
| Confused | 49.5% |
| Happy | 49.5% |
| Angry | 49.6% |
| Calm | 49.6% |
| Surprised | 49.5% |
| Sad | 49.6% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.5% |
| Surprised | 49.6% |
| Calm | 49.7% |
| Sad | 49.7% |
| Confused | 49.7% |
| Angry | 49.6% |
| Happy | 49.6% |
| Disgusted | 49.7% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 50.5% |
| Happy | 49.6% |
| Calm | 49.7% |
| Confused | 49.5% |
| Sad | 50.1% |
| Angry | 49.6% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
Feature analysis
Captions
Microsoft
| a close up of a refrigerator | 7.3% | |
| close up of a refrigerator | 5.3% | |
| a screenshot of a computer | 5.2% | |
Text analysis
Amazon
