Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 16-22 |
| Gender | Male, 78.4% |
| Sad | 68.6% |
| Happy | 61.2% |
| Surprised | 6.5% |
| Fear | 6.1% |
| Calm | 2.1% |
| Angry | 1.6% |
| Disgusted | 1.2% |
| Confused | 0.6% |
AWS Rekognition
| Age | 28-38 |
| Gender | Male, 85.2% |
| Calm | 63.4% |
| Sad | 38.8% |
| Surprised | 8.5% |
| Fear | 6.2% |
| Angry | 3% |
| Confused | 2.6% |
| Happy | 1.5% |
| Disgusted | 1.2% |
Feature analysis
Amazon
| Person | 90.6% | |
Categories
Imagga
| nature landscape | 78.8% | |
| beaches seaside | 7.9% | |
| streetview architecture | 7.2% | |
| paintings art | 4.3% | |
| interior objects | 1.2% | |
| sunrises sunsets | 0.3% | |
| food drinks | 0.1% | |
| pets animals | 0.1% | |
| text visuals | 0.1% | |
Captions
Microsoft
created on 2018-10-06
| a vintage photo of a sign | 64.8% | |
| a vintage photo of a person | 48.1% | |
| a vintage photo of some text | 48% | |
Text analysis
Amazon
