Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 50.1% |
| Surprised | 49.5% |
| Angry | 49.6% |
| Sad | 50% |
| Calm | 49.6% |
| Disgusted | 49.7% |
| Confused | 49.6% |
| Happy | 49.5% |
AWS Rekognition
| Age | 14-23 |
| Gender | Male, 50.5% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Angry | 49.5% |
| Sad | 49.6% |
| Calm | 50.3% |
| Confused | 49.5% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 50% |
| Calm | 49.6% |
| Disgusted | 49.5% |
| Angry | 49.6% |
| Happy | 49.9% |
| Confused | 49.5% |
| Surprised | 49.5% |
| Sad | 49.8% |
Feature analysis
Categories
Imagga
| nature landscape | 75.2% | |
| streetview architecture | 18.7% | |
| paintings art | 5.1% | |
| beaches seaside | 0.8% | |
| sunrises sunsets | 0.1% | |
| pets animals | 0.1% | |
Captions
Microsoft
created on 2018-03-16
| a vintage photo of an old building | 85.7% | |
| a vintage photo of a boat | 66% | |
| an old photo of a boat | 65.9% | |
Text analysis
Amazon
