Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 99.5% |
| Surprised | 3.1% |
| Confused | 10.3% |
| Calm | 23.4% |
| Sad | 44.1% |
| Happy | 1.9% |
| Disgusted | 2.2% |
| Angry | 15.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 51.7% |
| Sad | 54.6% |
| Disgusted | 45.1% |
| Angry | 45.1% |
| Happy | 45% |
| Surprised | 45.1% |
| Calm | 45% |
| Confused | 45.1% |
AWS Rekognition
| Age | 45-66 |
| Gender | Female, 92.2% |
| Angry | 73% |
| Calm | 2.1% |
| Happy | 5.7% |
| Disgusted | 0.8% |
| Surprised | 2.5% |
| Sad | 12% |
| Confused | 3.9% |
AWS Rekognition
| Age | 19-36 |
| Gender | Male, 50.4% |
| Happy | 45% |
| Disgusted | 45.2% |
| Calm | 45.1% |
| Sad | 53.8% |
| Confused | 45.3% |
| Angry | 45.3% |
| Surprised | 45.3% |
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 52.7% |
| Happy | 45% |
| Angry | 45% |
| Disgusted | 45% |
| Calm | 45% |
| Sad | 54.9% |
| Surprised | 45% |
| Confused | 45% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 53.8% |
| Confused | 45% |
| Angry | 45% |
| Surprised | 45% |
| Calm | 45% |
| Happy | 45% |
| Disgusted | 45% |
| Sad | 54.9% |
AWS Rekognition
| Age | 45-65 |
| Gender | Female, 51.7% |
| Happy | 45.2% |
| Disgusted | 45.2% |
| Calm | 49.6% |
| Surprised | 46.6% |
| Angry | 45.8% |
| Sad | 46.8% |
| Confused | 45.8% |
AWS Rekognition
| Age | 35-53 |
| Gender | Male, 51.4% |
| Sad | 1.4% |
| Calm | 85.4% |
| Confused | 1.5% |
| Angry | 3.7% |
| Happy | 3.3% |
| Disgusted | 0.6% |
| Surprised | 4% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.7% |
| Surprised | 45% |
| Disgusted | 45% |
| Calm | 45.1% |
| Confused | 45.2% |
| Angry | 45.1% |
| Happy | 45% |
| Sad | 54.5% |
Microsoft Cognitive Services
| Age | 48 |
| Gender | Male |
Feature analysis
Captions
Microsoft
| a close up of a book | 67.3% | |
| close up of a book | 62.1% | |
| a close up of a book cover | 62% | |
Text analysis
Amazon
