Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 20-32 |
| Gender | Female, 93.8% |
| Angry | 0.8% |
| Calm | 2.5% |
| Fear | 4.4% |
| Sad | 1.5% |
| Confused | 1.7% |
| Happy | 15.6% |
| Surprised | 73% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 15-27 |
| Gender | Female, 97.5% |
| Disgusted | 0.9% |
| Calm | 11.7% |
| Surprised | 1.2% |
| Angry | 1.4% |
| Happy | 59.3% |
| Sad | 21.2% |
| Confused | 2.2% |
| Fear | 2% |
AWS Rekognition
| Age | 23-37 |
| Gender | Female, 65% |
| Angry | 1.7% |
| Disgusted | 0.6% |
| Calm | 69% |
| Happy | 6% |
| Fear | 1.1% |
| Confused | 1.4% |
| Sad | 0.9% |
| Surprised | 19.3% |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 18 |
| Gender | Female |
Feature analysis
Categories
Imagga
| paintings art | 90.8% | |
| food drinks | 5.9% | |
| text visuals | 3.1% | |
Captions
Microsoft
created on 2020-04-26
| a close up of text on a whiteboard | 56.6% | |
| a close up of a whiteboard | 56.5% | |
| close up of text on a whiteboard | 52.9% | |