Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 16-24 |
| Gender | Male, 97.3% |
| Calm | 80.2% |
| Fear | 14% |
| Surprised | 6.3% |
| Sad | 3% |
| Happy | 2.2% |
| Angry | 0.4% |
| Disgusted | 0.3% |
| Confused | 0.1% |
AWS Rekognition
| Age | 14-22 |
| Gender | Female, 60% |
| Fear | 52.8% |
| Calm | 33.1% |
| Happy | 19.4% |
| Surprised | 6.4% |
| Sad | 2.6% |
| Angry | 1.9% |
| Disgusted | 0.5% |
| Confused | 0.3% |
AWS Rekognition
| Age | 23-31 |
| Gender | Male, 89.3% |
| Calm | 81.5% |
| Disgusted | 7.8% |
| Fear | 7.1% |
| Surprised | 6.5% |
| Sad | 3.7% |
| Happy | 2% |
| Confused | 0.8% |
| Angry | 0.7% |
Feature analysis
Categories
Imagga
| streetview architecture | 63.1% | |
| paintings art | 29.5% | |
| interior objects | 4.7% | |
Captions
Microsoft
created on 2018-05-10
| an old photo of a store | 83.6% | |
| a black and white photo of a store | 79.9% | |
| old photo of a store | 79.5% | |
Text analysis
Amazon
