Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-31 |
| Gender | Male, 99.4% |
| Calm | 88.2% |
| Surprised | 6.4% |
| Fear | 6% |
| Sad | 5.2% |
| Angry | 3.7% |
| Disgusted | 0.6% |
| Happy | 0.2% |
| Confused | 0.2% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 97.1% |
| Calm | 98.2% |
| Surprised | 6.3% |
| Fear | 6% |
| Sad | 2.3% |
| Angry | 0.6% |
| Happy | 0.1% |
| Disgusted | 0.1% |
| Confused | 0% |
AWS Rekognition
| Age | 16-24 |
| Gender | Male, 97% |
| Disgusted | 40.2% |
| Calm | 26.2% |
| Surprised | 9.6% |
| Happy | 8.9% |
| Fear | 7.5% |
| Angry | 6.8% |
| Confused | 5.7% |
| Sad | 3.2% |
Feature analysis
Amazon
| Person | 98.3% | |
Categories
Imagga
| nature landscape | 95.6% | |
| streetview architecture | 2.1% | |
| beaches seaside | 2% | |
Captions
Microsoft
created on 2018-05-11
| a vintage photo of a field | 90.6% | |
| a black and white photo of a river | 83.6% | |
| a black and white photo of people on a field | 83.5% | |