Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 45-53 |
| Gender | Male, 97.7% |
| Surprised | 40.9% |
| Calm | 31.9% |
| Angry | 31.4% |
| Fear | 6.4% |
| Happy | 3.3% |
| Sad | 3.1% |
| Disgusted | 1.5% |
| Confused | 0.7% |
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 89.1% |
| Calm | 81.5% |
| Happy | 11% |
| Surprised | 6.3% |
| Fear | 6% |
| Sad | 4.3% |
| Angry | 1.4% |
| Disgusted | 0.3% |
| Confused | 0.3% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 97.8% |
| Calm | 94.9% |
| Surprised | 6.3% |
| Fear | 6% |
| Happy | 3.2% |
| Sad | 2.6% |
| Confused | 0.1% |
| Angry | 0.1% |
| Disgusted | 0.1% |
Feature analysis
Categories
Imagga
| text visuals | 39.7% | |
| paintings art | 35.6% | |
| interior objects | 18.7% | |
| food drinks | 4.5% | |
Captions
Microsoft
created on 2018-05-10
| a vintage photo of a group of people standing in front of a building | 91.3% | |
| a vintage photo of a group of people posing for the camera | 91.2% | |
| a group of people in an old photo of a man | 91.1% | |
Text analysis
Amazon
