Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 17-29 |
| Gender | Male, 55% |
| Angry | 45.3% |
| Calm | 53.7% |
| Disgusted | 45.1% |
| Confused | 45% |
| Sad | 45.2% |
| Surprised | 45.1% |
| Fear | 45.1% |
| Happy | 45.4% |
AWS Rekognition
| Age | 7-17 |
| Gender | Male, 50.4% |
| Fear | 45.7% |
| Confused | 45.1% |
| Sad | 52.3% |
| Happy | 45% |
| Disgusted | 45% |
| Calm | 46.1% |
| Angry | 45.6% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 19-31 |
| Gender | Male, 54.2% |
| Happy | 45.2% |
| Disgusted | 45% |
| Confused | 45.1% |
| Fear | 45.2% |
| Surprised | 45.6% |
| Sad | 45.4% |
| Calm | 51.7% |
| Angry | 46.8% |
AWS Rekognition
| Age | 30-46 |
| Gender | Male, 96.3% |
| Happy | 2.1% |
| Angry | 38.4% |
| Calm | 2.9% |
| Confused | 2% |
| Fear | 10.9% |
| Disgusted | 2.7% |
| Sad | 38.1% |
| Surprised | 2.9% |
Feature analysis
Categories
Imagga
| interior objects | 72.7% | |
| food drinks | 15.8% | |
| paintings art | 8.9% | |
| streetview architecture | 1.8% | |
Captions
Microsoft
created on 2019-11-11
| a stack of flyers on a table | 60.3% | |
| an old photo of a person | 39.3% | |
| an old photo of a person | 35.2% | |
Text analysis
Amazon
