Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 41-49 |
| Gender | Male, 94.3% |
| Sad | 99.1% |
| Happy | 14.4% |
| Calm | 9.5% |
| Confused | 9.4% |
| Surprised | 7.1% |
| Fear | 6.9% |
| Angry | 2.2% |
| Disgusted | 0.7% |
AWS Rekognition
| Age | 16-24 |
| Gender | Female, 91.3% |
| Calm | 85.5% |
| Sad | 9.5% |
| Surprised | 6.4% |
| Fear | 5.9% |
| Confused | 2.3% |
| Angry | 0.3% |
| Happy | 0.3% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 18-26 |
| Gender | Female, 70% |
| Sad | 100% |
| Fear | 6.8% |
| Surprised | 6.8% |
| Calm | 5.5% |
| Confused | 2.2% |
| Happy | 0.8% |
| Disgusted | 0.8% |
| Angry | 0.5% |
Feature analysis
Amazon
| Person | 98% | |
Categories
Imagga
| interior objects | 45.3% | |
| people portraits | 28.1% | |
| pets animals | 11.3% | |
| paintings art | 6.6% | |
| events parties | 3.2% | |
| text visuals | 2.9% | |
| food drinks | 1.8% | |
Captions
Microsoft
created on 2019-02-03
| a group of people in a store | 39.1% | |
Text analysis
Amazon
