Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 57.7% |
| Sad | 23.2% |
| Disgusted | 4% |
| Angry | 8.5% |
| Happy | 0.8% |
| Confused | 7.8% |
| Surprised | 5.9% |
| Calm | 49.7% |
AWS Rekognition
| Age | 10-15 |
| Gender | Male, 50.9% |
| Disgusted | 2.4% |
| Happy | 2% |
| Surprised | 1.9% |
| Sad | 11.3% |
| Calm | 47.5% |
| Angry | 23.9% |
| Confused | 10.9% |
Microsoft Cognitive Services
| Age | 19 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Possible |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 47.3% | |
| events parties | 34.5% | |
| interior objects | 16.2% | |
| people portraits | 1% | |
| streetview architecture | 0.4% | |
| food drinks | 0.2% | |
| text visuals | 0.1% | |
| pets animals | 0.1% | |
| sunrises sunsets | 0.1% | |
| nature landscape | 0.1% | |