Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 100% |
| Confused | 52.5% |
| Disgusted | 15.1% |
| Calm | 10.8% |
| Angry | 10.8% |
| Surprised | 8% |
| Fear | 6.4% |
| Sad | 3.7% |
| Happy | 2.4% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 96.9% |
| Calm | 91.9% |
| Surprised | 6.6% |
| Fear | 6% |
| Sad | 3.2% |
| Confused | 1.5% |
| Happy | 1.1% |
| Disgusted | 0.9% |
| Angry | 0.6% |
Microsoft Cognitive Services
| Age | 21 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| pets animals | 57.1% | |
| macro flowers | 13.9% | |
| paintings art | 9.8% | |
| food drinks | 9.4% | |
| people portraits | 3.2% | |
| nature landscape | 2.7% | |
| beaches seaside | 1.5% | |
| events parties | 1.1% | |
| interior objects | 0.6% | |
| sunrises sunsets | 0.3% | |
| text visuals | 0.2% | |
| cars vehicles | 0.2% | |