Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 60.3% |
| Calm | 60% |
| Angry | 24.5% |
| Surprised | 6.5% |
| Fear | 6% |
| Disgusted | 6% |
| Happy | 5.7% |
| Sad | 2.9% |
| Confused | 0.8% |
AWS Rekognition
| Age | 23-33 |
| Gender | Male, 84.3% |
| Calm | 77.6% |
| Sad | 8.5% |
| Fear | 7.7% |
| Surprised | 6.7% |
| Confused | 3% |
| Angry | 2.1% |
| Disgusted | 1% |
| Happy | 0.9% |
Feature analysis
Categories
Imagga
| nature landscape | 38.3% | |
| cars vehicles | 36.6% | |
| beaches seaside | 13.7% | |
| streetview architecture | 5.4% | |
| paintings art | 2.9% | |
| food drinks | 1.5% | |
| sunrises sunsets | 0.7% | |
| text visuals | 0.4% | |
| interior objects | 0.2% | |
| events parties | 0.2% | |
| people portraits | 0.1% | |
| pets animals | 0.1% | |
| macro flowers | 0.1% | |
Captions
Microsoft
created on 2018-06-30
| a black and white photo of an old building | 89.9% | |
| a black and white photo of a building | 89.8% | |
| a vintage photo of an old building | 88.2% | |
Text analysis
Amazon
