Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 39-47 |
| Gender | Male, 61.8% |
| Calm | 91.3% |
| Confused | 6.2% |
| Sad | 1.2% |
| Angry | 0.4% |
| Fear | 0.3% |
| Disgusted | 0.3% |
| Happy | 0.2% |
| Surprised | 0.1% |
AWS Rekognition
| Age | 16-22 |
| Gender | Male, 55.9% |
| Calm | 97.7% |
| Happy | 1.6% |
| Disgusted | 0.2% |
| Angry | 0.1% |
| Fear | 0.1% |
| Sad | 0.1% |
| Confused | 0.1% |
| Surprised | 0.1% |
AWS Rekognition
| Age | 9-17 |
| Gender | Male, 99.1% |
| Calm | 96.7% |
| Confused | 1.5% |
| Sad | 0.8% |
| Angry | 0.3% |
| Fear | 0.2% |
| Happy | 0.2% |
| Surprised | 0.2% |
| Disgusted | 0.1% |
AWS Rekognition
| Age | 9-17 |
| Gender | Female, 95.2% |
| Sad | 29% |
| Calm | 23.4% |
| Surprised | 16.3% |
| Happy | 15% |
| Disgusted | 4.8% |
| Confused | 4.5% |
| Angry | 4.2% |
| Fear | 2.8% |
Feature analysis
Amazon
| Person | 99.3% | |
Categories
Imagga
| events parties | 44.5% | |
| interior objects | 31.7% | |
| streetview architecture | 13.7% | |
| text visuals | 4.1% | |
| people portraits | 2.2% | |
| food drinks | 1.9% | |
Captions
Microsoft
created on 2022-01-14
| a group of people sitting at a station | 83.3% | |
| a group of people sitting at a train station | 65.6% | |
| a group of people sitting and standing in front of a building | 65.5% | |
Text analysis
