Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 47-65 |
| Gender | Male, 50.5% |
| Happy | 45% |
| Fear | 45% |
| Sad | 45.2% |
| Calm | 54.5% |
| Confused | 45% |
| Disgusted | 45% |
| Angry | 45.2% |
| Surprised | 45% |
AWS Rekognition
| Age | 19-31 |
| Gender | Male, 51.4% |
| Calm | 54.9% |
| Happy | 45% |
| Fear | 45% |
| Sad | 45% |
| Disgusted | 45% |
| Confused | 45% |
| Angry | 45% |
| Surprised | 45% |
AWS Rekognition
| Age | 35-51 |
| Gender | Male, 54.9% |
| Happy | 45% |
| Fear | 45% |
| Disgusted | 45% |
| Angry | 45.1% |
| Sad | 45% |
| Surprised | 45% |
| Confused | 45% |
| Calm | 54.9% |
Feature analysis
Categories
Imagga
| paintings art | 83.2% | |
| streetview architecture | 7.5% | |
| interior objects | 3.7% | |
| people portraits | 1.6% | |
| food drinks | 1.6% | |
Captions
Microsoft
created on 2019-10-30
| a vintage photo of a person | 86.7% | |
| a vintage photo of some people in a room | 86.6% | |
| a vintage photo of a person in a room | 86.5% | |
Text analysis
Amazon
