Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.1% |
| Sad | 50.3% |
| Surprised | 49.5% |
| Angry | 49.5% |
| Happy | 49.5% |
| Confused | 49.5% |
| Calm | 49.6% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 19-36 |
| Gender | Male, 50.4% |
| Angry | 49.7% |
| Confused | 49.5% |
| Happy | 49.5% |
| Disgusted | 49.8% |
| Sad | 49.5% |
| Surprised | 49.9% |
| Calm | 49.6% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.3% |
| Disgusted | 49.6% |
| Angry | 49.6% |
| Confused | 49.7% |
| Sad | 49.9% |
| Happy | 49.5% |
| Calm | 49.7% |
| Surprised | 49.6% |
Feature analysis
Categories
Imagga
| beaches seaside | 93.7% | |
| paintings art | 3.6% | |
| nature landscape | 1.3% | |
| cars vehicles | 0.9% | |
| text visuals | 0.5% | |
Captions
Microsoft
created on 2018-03-23
| a black and white photo of a person | 88.1% | |
| an old photo of a person | 88% | |
| a group of people that are standing in the snow | 75.4% | |
Text analysis
Amazon
