Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 50% |
| Disgusted | 49.5% |
| Happy | 49.7% |
| Sad | 50% |
| Surprised | 49.5% |
| Calm | 49.5% |
| Confused | 49.5% |
| Angry | 49.6% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 50.2% |
| Angry | 49.6% |
| Calm | 49.5% |
| Confused | 49.5% |
| Sad | 50.1% |
| Disgusted | 49.6% |
| Happy | 49.6% |
| Surprised | 49.6% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 50.2% |
| Angry | 49.7% |
| Happy | 49.6% |
| Disgusted | 49.6% |
| Surprised | 49.6% |
| Sad | 49.9% |
| Confused | 49.5% |
| Calm | 49.6% |
AWS Rekognition
| Age | 27-44 |
| Gender | Male, 50.4% |
| Angry | 49.6% |
| Sad | 50% |
| Calm | 49.5% |
| Disgusted | 49.8% |
| Happy | 49.5% |
| Surprised | 49.5% |
| Confused | 49.6% |
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 50.5% |
| Surprised | 49.5% |
| Happy | 49.6% |
| Calm | 49.9% |
| Sad | 49.9% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Angry | 49.5% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 50.5% |
| Calm | 49.7% |
| Confused | 49.6% |
| Happy | 49.5% |
| Angry | 49.7% |
| Surprised | 49.5% |
| Sad | 50% |
| Disgusted | 49.6% |
AWS Rekognition
| Age | 15-25 |
| Gender | Female, 50.1% |
| Disgusted | 49.5% |
| Sad | 50.5% |
| Confused | 49.5% |
| Calm | 49.5% |
| Surprised | 49.5% |
| Angry | 49.5% |
| Happy | 49.5% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 50.3% |
| Angry | 49.6% |
| Happy | 49.8% |
| Calm | 49.9% |
| Surprised | 49.5% |
| Sad | 49.7% |
| Disgusted | 49.5% |
| Confused | 49.5% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 50.1% |
| Surprised | 49.6% |
| Disgusted | 49.8% |
| Happy | 49.6% |
| Sad | 49.5% |
| Confused | 49.5% |
| Calm | 49.6% |
| Angry | 49.8% |
Feature analysis
Captions
Microsoft
| a number of animals in a room | 27.7% | |
| a crowd of people in a room | 27.6% | |
Text analysis
Amazon
