Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 63.9% |
| Happy | 0.9% |
| Calm | 91% |
| Angry | 0.8% |
| Disgusted | 0.5% |
| Confused | 0.7% |
| Surprised | 1.5% |
| Sad | 4.6% |
AWS Rekognition
| Age | 45-65 |
| Gender | Male, 75.3% |
| Happy | 96.5% |
| Surprised | 0.8% |
| Sad | 0.7% |
| Confused | 0.5% |
| Angry | 0.7% |
| Disgusted | 0.3% |
| Calm | 0.5% |
AWS Rekognition
| Age | 14-25 |
| Gender | Male, 83.7% |
| Sad | 15.9% |
| Confused | 2.9% |
| Disgusted | 0.9% |
| Calm | 75.2% |
| Happy | 0.6% |
| Angry | 2.7% |
| Surprised | 1.7% |
Feature analysis
Amazon
| Person | 98.5% | |
Categories
Imagga
| streetview architecture | 32.6% | |
| people portraits | 20.2% | |
| paintings art | 18.3% | |
| events parties | 17.9% | |
| interior objects | 5.8% | |
| text visuals | 4.2% | |
Captions
Microsoft
created on 2019-03-25
| a group of people standing in front of a mirror posing for the camera | 78.4% | |
| a group of people standing next to a window | 78.3% | |
| a group of people standing in front of a window | 78.2% | |
Text analysis
Amazon
