Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 14-22 |
| Gender | Male, 99% |
| Calm | 74.4% |
| Happy | 15.6% |
| Sad | 6% |
| Angry | 1.3% |
| Surprised | 0.9% |
| Disgusted | 0.9% |
| Fear | 0.6% |
| Confused | 0.3% |
AWS Rekognition
| Age | 28-38 |
| Gender | Male, 95.3% |
| Calm | 98% |
| Angry | 0.5% |
| Happy | 0.4% |
| Sad | 0.3% |
| Confused | 0.2% |
| Disgusted | 0.2% |
| Surprised | 0.2% |
| Fear | 0.1% |
AWS Rekognition
| Age | 25-35 |
| Gender | Female, 76.8% |
| Sad | 74.7% |
| Calm | 22.6% |
| Disgusted | 1.1% |
| Happy | 0.5% |
| Fear | 0.4% |
| Angry | 0.3% |
| Confused | 0.2% |
| Surprised | 0.2% |
Feature analysis
Amazon
| Person | 98.4% | |
Categories
Imagga
| beaches seaside | 68.1% | |
| streetview architecture | 18.5% | |
| nature landscape | 10.6% | |
| cars vehicles | 1.8% | |
Captions
Microsoft
created on 2022-01-08
| a group of people standing in front of a building | 92.6% | |
| a group of people standing in front of a crowd | 89.7% | |
| a group of people standing in front of a crowd posing for the camera | 86.3% | |
Text analysis
Amazon
