Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-42 |
| Gender | Male, 98.5% |
| Disgusted | 0.1% |
| Angry | 0.1% |
| Sad | 98.4% |
| Happy | 0% |
| Confused | 0.1% |
| Fear | 0.7% |
| Surprised | 0% |
| Calm | 0.5% |
AWS Rekognition
| Age | 37-55 |
| Gender | Male, 67.8% |
| Fear | 4% |
| Sad | 48.8% |
| Angry | 2.6% |
| Happy | 4.5% |
| Calm | 35.6% |
| Surprised | 2.5% |
| Disgusted | 0.5% |
| Confused | 1.5% |
AWS Rekognition
| Age | 31-47 |
| Gender | Female, 54.9% |
| Confused | 1.4% |
| Sad | 61% |
| Angry | 21.7% |
| Happy | 6.3% |
| Calm | 4.7% |
| Surprised | 1% |
| Disgusted | 1.6% |
| Fear | 2.4% |
Feature analysis
Amazon
| Person | 97.4% | |
Categories
Imagga
| paintings art | 87.7% | |
| nature landscape | 11.6% | |
Captions
Microsoft
created on 2019-08-09
| a vintage photo of a person | 86.1% | |
| a vintage photo of a person | 80.6% | |
| a vintage photo of a man and a woman posing for a picture | 55.3% | |