Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 81.8% |
| Calm | 97% |
| Surprised | 6.4% |
| Fear | 5.9% |
| Sad | 2.2% |
| Happy | 1.3% |
| Disgusted | 0.5% |
| Angry | 0.3% |
| Confused | 0.2% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 77.3% |
| Fear | 57.4% |
| Angry | 32.8% |
| Surprised | 11.5% |
| Calm | 7.7% |
| Sad | 2.9% |
| Disgusted | 2.2% |
| Confused | 0.9% |
| Happy | 0.7% |
AWS Rekognition
| Age | 21-29 |
| Gender | Male, 98.4% |
| Calm | 98.4% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Sad | 2.2% |
| Happy | 1% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Confused | 0.1% |
Feature analysis
Amazon
| Person | 95.8% | |
Categories
Imagga
| streetview architecture | 62.4% | |
| paintings art | 23.6% | |
| beaches seaside | 5% | |
| interior objects | 4.9% | |
| nature landscape | 3.4% | |
Captions
Microsoft
created on 2019-02-27
| a vintage photo of an old building | 78.7% | |
| a vintage photo of a person | 72.5% | |
| a vintage photo of a building | 72.4% | |
Text analysis
Amazon
