Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 28-44 |
| Gender | Male, 54.5% |
| Sad | 45.5% |
| Happy | 45% |
| Angry | 45.6% |
| Fear | 45.1% |
| Confused | 45.2% |
| Disgusted | 45.1% |
| Calm | 53.1% |
| Surprised | 45.4% |
AWS Rekognition
| Age | 21-33 |
| Gender | Male, 53.5% |
| Disgusted | 45.1% |
| Fear | 45.1% |
| Sad | 45.2% |
| Angry | 45.8% |
| Surprised | 45.4% |
| Confused | 45.1% |
| Happy | 45.1% |
| Calm | 53.3% |
AWS Rekognition
| Age | 34-50 |
| Gender | Male, 50.4% |
| Calm | 49.6% |
| Confused | 49.5% |
| Surprised | 49.6% |
| Sad | 49.7% |
| Happy | 49.6% |
| Fear | 49.7% |
| Disgusted | 49.6% |
| Angry | 49.7% |
AWS Rekognition
| Age | 1-7 |
| Gender | Male, 50.4% |
| Sad | 50.5% |
| Angry | 49.5% |
| Happy | 49.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Fear | 49.5% |
| Surprised | 49.5% |
| Calm | 49.5% |
Feature analysis
Amazon
| Person | 86.4% | |
Categories
Imagga
| interior objects | 97.7% | |
| food drinks | 1.4% | |
Captions
Microsoft
created on 2019-08-10
| a group of people in a room | 42.4% | |
Text analysis
Amazon
