Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 22-34 |
| Gender | Female, 53.4% |
| Confused | 45% |
| Disgusted | 45% |
| Angry | 45.4% |
| Calm | 45.1% |
| Fear | 53.6% |
| Sad | 45.4% |
| Surprised | 45.1% |
| Happy | 45.2% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 50.7% |
| Sad | 45.2% |
| Surprised | 45% |
| Calm | 46.3% |
| Happy | 45.1% |
| Confused | 45% |
| Disgusted | 45% |
| Fear | 45% |
| Angry | 53.4% |
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 65.3% |
| Disgusted | 0.5% |
| Surprised | 10% |
| Fear | 1.6% |
| Calm | 6% |
| Sad | 44% |
| Angry | 2.1% |
| Happy | 0.8% |
| Confused | 35% |
Feature analysis
Categories
Imagga
| paintings art | 59% | |
| text visuals | 28.8% | |
| food drinks | 5.3% | |
| interior objects | 4.9% | |
| streetview architecture | 1.6% | |
Captions
Microsoft
created on 2020-05-02
| a close up of text on a black background | 69.5% | |
| a close up of text on a white background | 69.4% | |
| a close up of text on a white surface | 68.2% | |