Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 61.2% |
| Happy | 2.9% |
| Disgusted | 0.3% |
| Angry | 2.5% |
| Confused | 0.8% |
| Calm | 7% |
| Surprised | 0.5% |
| Sad | 85.3% |
| Fear | 0.6% |
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 74.2% |
| Disgusted | 0.1% |
| Calm | 62.2% |
| Fear | 0.2% |
| Happy | 30.2% |
| Angry | 0.4% |
| Sad | 6.5% |
| Confused | 0.2% |
| Surprised | 0.1% |
AWS Rekognition
| Age | 23-37 |
| Gender | Female, 59.2% |
| Confused | 0.5% |
| Disgusted | 0.4% |
| Surprised | 0.6% |
| Sad | 0.6% |
| Calm | 94.8% |
| Angry | 1.9% |
| Happy | 1% |
| Fear | 0.2% |
AWS Rekognition
| Age | 18-30 |
| Gender | Female, 50.8% |
| Calm | 50.8% |
| Disgusted | 0.2% |
| Angry | 3.9% |
| Fear | 0.2% |
| Happy | 40.7% |
| Sad | 3% |
| Surprised | 0.5% |
| Confused | 0.6% |
Microsoft Cognitive Services
| Age | 22 |
| Gender | Female |
Feature analysis
Categories
Imagga
| macro flowers | 47.8% | |
| paintings art | 32% | |
| food drinks | 20% | |
Captions
Microsoft
created on 2020-04-29
| a close up of a book | 42.5% | |
| close up of a book | 36.5% | |
| a close up of text on a white surface | 36.4% | |