Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 51.3% |
| Sad | 50.8% |
| Calm | 47.2% |
| Confused | 45.3% |
| Disgusted | 45.4% |
| Surprised | 45.3% |
| Happy | 45.8% |
| Angry | 45.3% |
AWS Rekognition
| Age | 45-66 |
| Gender | Female, 51.5% |
| Happy | 45.2% |
| Surprised | 45.1% |
| Angry | 51.1% |
| Confused | 45.3% |
| Disgusted | 45.5% |
| Sad | 47.5% |
| Calm | 45.3% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 52.1% |
| Calm | 46.3% |
| Angry | 46.6% |
| Happy | 45.2% |
| Surprised | 45.2% |
| Disgusted | 45% |
| Confused | 45.1% |
| Sad | 51.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.7% |
| Angry | 45.6% |
| Happy | 45% |
| Confused | 45.5% |
| Disgusted | 45.2% |
| Surprised | 46.8% |
| Calm | 51.1% |
| Sad | 45.9% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 54.5% |
| Surprised | 45.3% |
| Sad | 45.7% |
| Happy | 45.1% |
| Angry | 46.7% |
| Calm | 51.7% |
| Disgusted | 45.1% |
| Confused | 45.2% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 53.9% |
| Calm | 46.4% |
| Disgusted | 45.2% |
| Sad | 48.7% |
| Confused | 45.2% |
| Happy | 48.8% |
| Angry | 45.4% |
| Surprised | 45.3% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.5% |
| Surprised | 45.1% |
| Sad | 52.4% |
| Calm | 46.3% |
| Confused | 45.3% |
| Happy | 45.1% |
| Disgusted | 45.4% |
| Angry | 45.4% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 53.3% |
| Confused | 45.2% |
| Sad | 48% |
| Disgusted | 45.3% |
| Angry | 51.1% |
| Surprised | 45.1% |
| Calm | 45.2% |
| Happy | 45.1% |
Feature analysis
Captions
Microsoft
| a close up of a book | 53.1% | |
| close up of a book | 48% | |
| a close up of a book cover | 47.9% | |
Text analysis
Amazon
