Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 84.8% |
| Happy | 45.9% |
| Angry | 21.6% |
| Surprised | 12% |
| Calm | 9.5% |
| Confused | 6.5% |
| Fear | 6.5% |
| Disgusted | 5.1% |
| Sad | 2.7% |
AWS Rekognition
| Age | 23-31 |
| Gender | Male, 61.2% |
| Calm | 69.9% |
| Happy | 10.6% |
| Surprised | 7.9% |
| Fear | 7.8% |
| Disgusted | 6% |
| Sad | 3.7% |
| Confused | 1.1% |
| Angry | 1% |
AWS Rekognition
| Age | 18-26 |
| Gender | Female, 70.9% |
| Fear | 96.1% |
| Surprised | 6.5% |
| Sad | 5% |
| Calm | 2.5% |
| Angry | 0.8% |
| Happy | 0.6% |
| Disgusted | 0.3% |
| Confused | 0.2% |
Feature analysis
Categories
Imagga
| cars vehicles | 92.3% | |
| streetview architecture | 2.8% | |
| nature landscape | 2% | |
| beaches seaside | 1.6% | |
| paintings art | 1% | |
| food drinks | 0.1% | |
| interior objects | 0.1% | |
Captions
Microsoft
created on 2018-06-30
| a black and white photo of an old building | 93.1% | |
| a black and white photo of a building | 93% | |
| a vintage photo of an old building | 91.4% | |
Text analysis
Amazon
