Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 28-44 |
| Gender | Male, 94.7% |
| Calm | 82.6% |
| Surprised | 12.9% |
| Confused | 3.2% |
| Happy | 0.4% |
| Angry | 0.4% |
| Sad | 0.3% |
| Disgusted | 0.1% |
| Fear | 0.1% |
AWS Rekognition
| Age | 47-65 |
| Gender | Female, 79.7% |
| Sad | 88% |
| Calm | 11.7% |
| Happy | 0.1% |
| Angry | 0.1% |
| Fear | 0.1% |
| Confused | 0% |
| Disgusted | 0% |
| Surprised | 0% |
AWS Rekognition
| Age | 7-17 |
| Gender | Male, 91.4% |
| Calm | 45% |
| Sad | 18.9% |
| Confused | 14.8% |
| Fear | 6% |
| Disgusted | 5.8% |
| Surprised | 4.9% |
| Angry | 2.6% |
| Happy | 2% |
Feature analysis
Categories
Imagga
| food drinks | 37.6% | |
| people portraits | 34.6% | |
| events parties | 13.2% | |
| pets animals | 7.8% | |
| interior objects | 5.3% | |
Captions
Microsoft
created on 2021-04-05
| a person standing in front of a mirror | 57.6% | |
| a person standing in front of a mirror posing for the camera | 54.7% | |
| a person standing in front of a mirror posing for the camera | 32% | |