Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 97.6% |
| Happy | 62.6% |
| Calm | 29% |
| Sad | 3% |
| Angry | 2.7% |
| Fear | 1% |
| Surprised | 0.7% |
| Disgusted | 0.5% |
| Confused | 0.5% |
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 88.1% |
| Calm | 69% |
| Fear | 11.4% |
| Disgusted | 8.1% |
| Sad | 4.6% |
| Confused | 3% |
| Happy | 2.1% |
| Angry | 1.4% |
| Surprised | 0.4% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 99.8% |
| Sad | 93.6% |
| Happy | 3.2% |
| Calm | 2.3% |
| Fear | 0.4% |
| Confused | 0.2% |
| Angry | 0.1% |
| Surprised | 0.1% |
| Disgusted | 0.1% |
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 75.8% |
| Happy | 64.4% |
| Calm | 25.2% |
| Sad | 8.2% |
| Disgusted | 0.6% |
| Confused | 0.6% |
| Angry | 0.4% |
| Surprised | 0.4% |
| Fear | 0.3% |
AWS Rekognition
| Age | 19-27 |
| Gender | Female, 94% |
| Sad | 49.3% |
| Calm | 40.2% |
| Happy | 7.6% |
| Fear | 0.9% |
| Angry | 0.7% |
| Disgusted | 0.6% |
| Confused | 0.4% |
| Surprised | 0.3% |
AWS Rekognition
| Age | 28-38 |
| Gender | Male, 68% |
| Calm | 49.6% |
| Sad | 25.4% |
| Happy | 5.8% |
| Fear | 5% |
| Disgusted | 4.9% |
| Surprised | 4.2% |
| Angry | 3.7% |
| Confused | 1.4% |
AWS Rekognition
| Age | 11-19 |
| Gender | Male, 99.8% |
| Happy | 68.7% |
| Sad | 18.9% |
| Calm | 5.8% |
| Fear | 2.9% |
| Angry | 1.5% |
| Surprised | 1% |
| Disgusted | 0.6% |
| Confused | 0.5% |
AWS Rekognition
| Age | 14-22 |
| Gender | Male, 95.8% |
| Calm | 93.6% |
| Sad | 2.8% |
| Angry | 1.4% |
| Fear | 0.8% |
| Happy | 0.7% |
| Disgusted | 0.3% |
| Confused | 0.3% |
| Surprised | 0.2% |
Feature analysis
Amazon
| Person | 94.9% | |
Categories
Imagga
| streetview architecture | 85.5% | |
| nature landscape | 6.9% | |
| beaches seaside | 3.1% | |
| cars vehicles | 2.3% | |
Captions
Microsoft
created on 2022-01-15
| a vintage photo of a person | 80.7% | |
| a vintage photo of a group of people standing around a plane | 53.8% | |
| a vintage photo of a crowd | 53.7% | |
Text analysis
Amazon
