Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 29-39 |
| Gender | Male, 99.5% |
| Happy | 90% |
| Surprised | 3.3% |
| Fear | 2% |
| Calm | 1.8% |
| Sad | 1.6% |
| Confused | 0.6% |
| Angry | 0.4% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 94.7% |
| Calm | 36.3% |
| Sad | 29.1% |
| Angry | 9.4% |
| Disgusted | 7.1% |
| Happy | 6.5% |
| Surprised | 5.6% |
| Fear | 3.7% |
| Confused | 2.3% |
AWS Rekognition
| Age | 34-42 |
| Gender | Male, 99.9% |
| Calm | 38.4% |
| Happy | 26.2% |
| Sad | 9.9% |
| Confused | 9.5% |
| Surprised | 6.1% |
| Fear | 5.1% |
| Disgusted | 3.6% |
| Angry | 1.3% |
Feature analysis
Amazon
| Person | 98.9% | |
Categories
Imagga
| paintings art | 65.4% | |
| streetview architecture | 19.8% | |
| cars vehicles | 5.2% | |
| beaches seaside | 5.1% | |
| interior objects | 1.7% | |
Captions
Microsoft
created on 2022-01-15
| a vintage photo of a group of people sitting in front of a building | 85.6% | |
| a group of people sitting in front of a building | 85.5% | |
| a vintage photo of a group of people in front of a building | 85.2% | |
Text analysis
Amazon
