Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 17-27 |
| Gender | Female, 85.2% |
| Calm | 8.2% |
| Happy | 5.3% |
| Surprised | 1.3% |
| Confused | 2.5% |
| Disgusted | 0.3% |
| Sad | 80.9% |
| Angry | 1.4% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 54.9% |
| Happy | 51.8% |
| Disgusted | 45.2% |
| Sad | 47.4% |
| Calm | 45.3% |
| Angry | 45.2% |
| Confused | 45.1% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.1% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Angry | 49.5% |
| Happy | 49.5% |
| Sad | 50.4% |
| Confused | 49.5% |
| Calm | 49.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.8% |
| Confused | 45.1% |
| Surprised | 45% |
| Calm | 54.7% |
| Happy | 45% |
| Disgusted | 45% |
| Angry | 45.1% |
| Sad | 45% |
Feature analysis
Amazon
| Person | 96.9% | |
Categories
Imagga
| streetview architecture | 100% | |
Captions
Microsoft
created on 2018-02-19
| a store sign on the side of a building | 97.6% | |
| a store front at day | 97.5% | |
| a sign above a store | 97.4% | |
Text analysis
Amazon
