Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 45-63 |
| Gender | Female, 55% |
| Happy | 47% |
| Sad | 52.8% |
| Angry | 45.1% |
| Confused | 45% |
| Surprised | 45.1% |
| Disgusted | 45% |
| Calm | 45% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 52.2% |
| Disgusted | 45% |
| Calm | 46.2% |
| Happy | 45.1% |
| Sad | 52.8% |
| Surprised | 45.2% |
| Confused | 45.4% |
| Angry | 45.2% |
AWS Rekognition
| Age | 15-25 |
| Gender | Male, 54.5% |
| Surprised | 45.4% |
| Sad | 46.2% |
| Disgusted | 50.4% |
| Confused | 45.3% |
| Happy | 45.3% |
| Angry | 46% |
| Calm | 46.5% |
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 53.8% |
| Angry | 46.2% |
| Surprised | 45.2% |
| Disgusted | 48% |
| Confused | 45.2% |
| Calm | 46.3% |
| Happy | 45% |
| Sad | 49% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.5% |
| Surprised | 49.6% |
| Calm | 49.6% |
| Disgusted | 49.6% |
| Sad | 49.7% |
| Happy | 49.7% |
| Confused | 49.5% |
| Angry | 49.8% |
AWS Rekognition
| Age | 10-15 |
| Gender | Male, 53.5% |
| Confused | 45.2% |
| Surprised | 45.4% |
| Disgusted | 45.1% |
| Happy | 45.1% |
| Sad | 45.6% |
| Angry | 45.3% |
| Calm | 53.2% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.2% |
| Happy | 49.6% |
| Confused | 49.5% |
| Sad | 50.4% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Calm | 49.5% |
| Angry | 49.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.4% |
| Happy | 49.7% |
| Confused | 49.6% |
| Calm | 49.8% |
| Disgusted | 49.5% |
| Surprised | 49.6% |
| Sad | 49.7% |
| Angry | 49.6% |
AWS Rekognition
| Age | 17-27 |
| Gender | Female, 50.2% |
| Calm | 50% |
| Happy | 49.6% |
| Disgusted | 49.6% |
| Surprised | 49.5% |
| Angry | 49.8% |
| Sad | 49.5% |
| Confused | 49.5% |
Feature analysis
Captions
Microsoft
| a close up of text on a white background | 63% | |
| a close up of text on a black background | 57.9% | |
| a close up of text on a white surface | 57.8% | |
Text analysis
Amazon
