Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 96.5% |
| Calm | 55.5% |
| Sad | 35.3% |
| Fear | 4.6% |
| Happy | 1.9% |
| Disgusted | 0.8% |
| Angry | 0.8% |
| Confused | 0.7% |
| Surprised | 0.4% |
AWS Rekognition
| Age | 29-39 |
| Gender | Female, 57.6% |
| Calm | 91.7% |
| Sad | 5.5% |
| Happy | 1.8% |
| Angry | 0.3% |
| Disgusted | 0.3% |
| Surprised | 0.2% |
| Confused | 0.2% |
| Fear | 0.1% |
AWS Rekognition
| Age | 23-31 |
| Gender | Female, 73.1% |
| Calm | 97.4% |
| Sad | 1.4% |
| Confused | 0.3% |
| Happy | 0.3% |
| Angry | 0.3% |
| Surprised | 0.1% |
| Disgusted | 0.1% |
| Fear | 0.1% |
AWS Rekognition
| Age | 20-28 |
| Gender | Male, 65.1% |
| Calm | 97.9% |
| Happy | 0.7% |
| Sad | 0.6% |
| Angry | 0.3% |
| Disgusted | 0.1% |
| Fear | 0.1% |
| Confused | 0.1% |
| Surprised | 0.1% |
Feature analysis
Amazon
| Person | 96.2% | |
Categories
Imagga
| cars vehicles | 50.6% | |
| beaches seaside | 34.2% | |
| nature landscape | 12.6% | |
| streetview architecture | 1.3% | |
Captions
Microsoft
created on 2022-01-15
| a vintage photo of a large crowd of people | 87.9% | |
| a vintage photo of a crowd | 87.8% | |
| a vintage photo of a large crowd | 87.7% | |
Text analysis
Amazon
