Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 54% |
| Angry | 45.4% |
| Surprised | 45.1% |
| Disgusted | 45.1% |
| Sad | 48.5% |
| Calm | 50.8% |
| Happy | 45% |
| Confused | 45.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 50.4% |
| Angry | 49.5% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
| Sad | 50.2% |
| Calm | 49.5% |
| Happy | 49.6% |
| Confused | 49.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.2% |
| Sad | 49.6% |
| Surprised | 49.5% |
| Calm | 50.2% |
| Happy | 49.6% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
Feature analysis
Categories
Imagga
| paintings art | 65% | |
| pets animals | 18% | |
| food drinks | 5.8% | |
| nature landscape | 3.7% | |
| interior objects | 3.3% | |
| beaches seaside | 1.6% | |
Captions
Microsoft
created on 2019-03-22
| a vintage photo of a person in a white room | 52.2% | |
| a vintage photo of a person | 52.1% | |
| a black and white photo of a person | 52% | |
Text analysis
Amazon
