Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 41-49 |
| Gender | Male, 98.8% |
| Calm | 98.3% |
| Surprised | 6.3% |
| Fear | 6% |
| Sad | 2.4% |
| Happy | 0.3% |
| Confused | 0.2% |
| Disgusted | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 21-29 |
| Gender | Male, 90% |
| Confused | 47.3% |
| Sad | 27.9% |
| Calm | 14.5% |
| Surprised | 9.7% |
| Fear | 8.4% |
| Disgusted | 3.1% |
| Angry | 2.6% |
| Happy | 1.2% |
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 85.4% |
| Calm | 73.5% |
| Sad | 10.9% |
| Surprised | 6.8% |
| Fear | 6.6% |
| Angry | 5.7% |
| Confused | 3% |
| Happy | 1.8% |
| Disgusted | 1% |
Feature analysis
Categories
Imagga
| interior objects | 97.3% | |
| pets animals | 1.8% | |
| food drinks | 0.3% | |
| paintings art | 0.3% | |
| people portraits | 0.3% | |
| text visuals | 0.1% | |
Captions
Microsoft
created on 2018-10-06
| a group of people in a room | 65.1% | |
| a group of people in a kitchen | 38.6% | |
| a group of people standing in a room | 38.5% | |
Text analysis
Amazon
