Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.6% |
| Angry | 47.2% |
| Disgusted | 45.1% |
| Surprised | 45.2% |
| Calm | 45.8% |
| Sad | 51.3% |
| Confused | 45.2% |
| Happy | 45.2% |
AWS Rekognition
| Age | 17-27 |
| Gender | Female, 55% |
| Surprised | 45% |
| Angry | 45% |
| Happy | 45% |
| Sad | 54.9% |
| Disgusted | 45% |
| Confused | 45% |
| Calm | 45% |
AWS Rekognition
| Age | 4-9 |
| Gender | Male, 51.9% |
| Confused | 46.2% |
| Disgusted | 45.2% |
| Sad | 49% |
| Happy | 45.3% |
| Calm | 46.7% |
| Angry | 46.6% |
| Surprised | 46.1% |
Feature analysis
Categories
Imagga
| paintings art | 53.9% | |
| beaches seaside | 30.6% | |
| streetview architecture | 6.8% | |
| nature landscape | 6.3% | |
| pets animals | 1.4% | |
Captions
Microsoft
created on 2019-08-06
| a vintage photo of a person | 84% | |
| a vintage photo of a person | 83.5% | |
| a vintage photo of a man and a woman posing for a picture | 57.7% | |
Text analysis
Amazon
