Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 19-36 |
| Gender | Male, 81.4% |
| Happy | 4.6% |
| Disgusted | 10.1% |
| Confused | 9.1% |
| Angry | 10.5% |
| Calm | 51.1% |
| Sad | 7.2% |
| Surprised | 7.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 90.3% |
| Sad | 95.3% |
| Happy | 0.1% |
| Disgusted | 0.2% |
| Confused | 0.5% |
| Calm | 3.2% |
| Surprised | 0.4% |
| Angry | 0.4% |
AWS Rekognition
| Age | 57-77 |
| Gender | Female, 86.6% |
| Calm | 8.8% |
| Happy | 4.4% |
| Sad | 68.8% |
| Angry | 4% |
| Surprised | 3.8% |
| Disgusted | 3.7% |
| Confused | 6.4% |
AWS Rekognition
| Age | 15-25 |
| Gender | Male, 51.2% |
| Surprised | 7.4% |
| Confused | 5.6% |
| Disgusted | 6.3% |
| Calm | 11.4% |
| Sad | 44.8% |
| Happy | 6.2% |
| Angry | 18.3% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 50.8% |
| Surprised | 45.1% |
| Calm | 54.7% |
| Disgusted | 45% |
| Confused | 45% |
| Sad | 45% |
| Angry | 45.1% |
| Happy | 45% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 94.5% |
| Disgusted | 0.3% |
| Calm | 24.3% |
| Happy | 0.3% |
| Surprised | 0.6% |
| Confused | 1.6% |
| Angry | 1.5% |
| Sad | 71.4% |
AWS Rekognition
| Age | 57-77 |
| Gender | Female, 62% |
| Angry | 21.4% |
| Disgusted | 1% |
| Happy | 7.5% |
| Sad | 62.4% |
| Surprised | 1.7% |
| Calm | 4.9% |
| Confused | 1.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 91.3% |
| Surprised | 1% |
| Angry | 1.6% |
| Calm | 3.3% |
| Confused | 0.6% |
| Happy | 0.9% |
| Disgusted | 0.6% |
| Sad | 92% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 50.9% |
| Happy | 45.1% |
| Confused | 45.3% |
| Sad | 49.4% |
| Surprised | 45.2% |
| Calm | 49.7% |
| Disgusted | 45.1% |
| Angry | 45.3% |
Feature analysis
Captions
Microsoft
| a vintage photo of a book | 69.8% | |
| a vintage photo of a person | 69.7% | |
| a vintage photo of a person holding a book | 59% | |
Text analysis
Amazon
