Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 14-25 |
| Gender | Male, 51.6% |
| Calm | 53.3% |
| Angry | 45.4% |
| Confused | 45.1% |
| Sad | 45.9% |
| Happy | 45% |
| Disgusted | 45.1% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 35-53 |
| Gender | Male, 51.4% |
| Disgusted | 46.1% |
| Angry | 46.5% |
| Sad | 47% |
| Surprised | 45.9% |
| Happy | 48.2% |
| Calm | 45.5% |
| Confused | 45.7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 51.3% |
| Disgusted | 45% |
| Happy | 45% |
| Surprised | 45% |
| Angry | 45.1% |
| Confused | 45% |
| Calm | 45% |
| Sad | 54.8% |
AWS Rekognition
| Age | 14-23 |
| Gender | Female, 51.6% |
| Surprised | 45.1% |
| Happy | 45.2% |
| Sad | 53.4% |
| Calm | 45.8% |
| Confused | 45.1% |
| Disgusted | 45.1% |
| Angry | 45.4% |
AWS Rekognition
| Age | 15-25 |
| Gender | Female, 51.5% |
| Angry | 45% |
| Calm | 45.2% |
| Disgusted | 45% |
| Happy | 45% |
| Surprised | 45% |
| Sad | 54.7% |
| Confused | 45% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.8% |
| Sad | 54.7% |
| Surprised | 45% |
| Angry | 45% |
| Disgusted | 45% |
| Confused | 45% |
| Happy | 45.1% |
| Calm | 45.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.6% |
| Sad | 50.2% |
| Disgusted | 45.6% |
| Confused | 45.2% |
| Angry | 48.2% |
| Happy | 45.5% |
| Surprised | 45.2% |
| Calm | 45.1% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.5% |
| Angry | 49.5% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
| Happy | 49.5% |
| Calm | 49.5% |
| Sad | 50.4% |
| Confused | 49.5% |
Feature analysis
Captions
Microsoft
| an old photo of a person | 48.5% | |
| a group of people standing in front of a store | 26% | |
| a group of people in a room | 25.9% | |
Text analysis
Amazon
