Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 15-27 |
| Gender | Male, 50.3% |
| Sad | 49.6% |
| Angry | 49.7% |
| Fear | 49.5% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Calm | 50.2% |
AWS Rekognition
| Age | 23-35 |
| Gender | Male, 50.5% |
| Calm | 50% |
| Fear | 49.5% |
| Sad | 49.8% |
| Disgusted | 49.6% |
| Angry | 49.5% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Confused | 49.5% |
AWS Rekognition
| Age | 37-55 |
| Gender | Male, 54.1% |
| Happy | 49.7% |
| Calm | 46.6% |
| Confused | 45.1% |
| Fear | 45.1% |
| Sad | 46.3% |
| Disgusted | 45.1% |
| Surprised | 45.1% |
| Angry | 47.1% |
Feature analysis
Categories
Imagga
| beaches seaside | 75.1% | |
| nature landscape | 19.4% | |
| paintings art | 2.8% | |
| food drinks | 1.5% | |
Captions
Microsoft
created on 2019-11-03
| an old photo of a person | 63.4% | |
| old photo of a person | 60.2% | |
| a black and white photo of a person | 48.5% | |
Text analysis
Amazon
