Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 9-17 |
| Gender | Female, 98.2% |
| Sad | 90.3% |
| Calm | 31.3% |
| Surprised | 13.1% |
| Fear | 7.5% |
| Confused | 4.9% |
| Angry | 3.4% |
| Happy | 2.5% |
| Disgusted | 2.2% |
AWS Rekognition
| Age | 13-21 |
| Gender | Male, 94.2% |
| Calm | 97.1% |
| Surprised | 6.4% |
| Fear | 6% |
| Sad | 2.3% |
| Confused | 0.7% |
| Happy | 0.5% |
| Angry | 0.3% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 13-21 |
| Gender | Female, 57.8% |
| Calm | 93.2% |
| Surprised | 7.2% |
| Fear | 6.1% |
| Sad | 3.2% |
| Disgusted | 0.7% |
| Angry | 0.5% |
| Confused | 0.3% |
| Happy | 0.2% |
Feature analysis
Amazon
| Blackboard | 84.5% | |
Categories
Imagga
| nature landscape | 51.6% | |
| macro flowers | 34.1% | |
| paintings art | 7.9% | |
| food drinks | 4.1% | |
Captions
Microsoft
created on 2019-02-03
| a close up of a window | 34.3% | |
| close up of a window | 27.6% | |