Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 54.9% |
| Sad | 5.2% |
| Surprised | 28.6% |
| Happy | 1.1% |
| Confused | 22.5% |
| Fear | 1.9% |
| Disgusted | 0.3% |
| Calm | 38.8% |
| Angry | 1.8% |
AWS Rekognition
| Age | 16-28 |
| Gender | Male, 85% |
| Fear | 0% |
| Happy | 0.3% |
| Confused | 0.1% |
| Sad | 0.3% |
| Calm | 98.9% |
| Surprised | 0.2% |
| Disgusted | 0% |
| Angry | 0.2% |
AWS Rekognition
| Age | 23-37 |
| Gender | Male, 85% |
| Angry | 0.7% |
| Sad | 27.8% |
| Disgusted | 0.1% |
| Fear | 0.1% |
| Calm | 70.3% |
| Happy | 0.5% |
| Confused | 0.3% |
| Surprised | 0.1% |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Male |
Feature analysis
Categories
Imagga
| paintings art | 99.1% | |
Captions
Microsoft
created on 2019-10-30
| a vintage photo of a person | 88.6% | |
| a vintage photo of a group of people posing for the camera | 78.9% | |
| a vintage photo of a group of people posing for a picture | 78.8% | |
Text analysis
Amazon
