Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-55 |
| Gender | Male, 99.3% |
| Surprised | 4.9% |
| Angry | 5.5% |
| Disgusted | 2.6% |
| Confused | 7.7% |
| Happy | 13.1% |
| Calm | 52.7% |
| Sad | 13.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 56.9% |
| Happy | 8.2% |
| Disgusted | 1.1% |
| Surprised | 1.9% |
| Confused | 2.2% |
| Calm | 67.9% |
| Sad | 16.2% |
| Angry | 2.5% |
AWS Rekognition
| Age | 30-47 |
| Gender | Female, 50.4% |
| Surprised | 49.5% |
| Angry | 49.5% |
| Sad | 50% |
| Calm | 49.9% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Happy | 49.5% |
Feature analysis
Categories
Imagga
| beaches seaside | 48.8% | |
| paintings art | 31.4% | |
| nature landscape | 7.4% | |
| pets animals | 3.7% | |
| events parties | 3.3% | |
| streetview architecture | 3.1% | |
| sunrises sunsets | 1.4% | |
| interior objects | 0.7% | |
| people portraits | 0.2% | |
| text visuals | 0.1% | |
Captions
Microsoft
created on 2018-02-09
| a vintage photo of a person | 88% | |
| a vintage photo of a person standing in front of a beach | 85.5% | |
| a man and a woman standing in front of a beach | 77.9% | |
Text analysis
Amazon
