Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 89.7% |
| Happy | 13.1% |
| Calm | 17.8% |
| Angry | 39.5% |
| Disgusted | 8.9% |
| Sad | 9.4% |
| Surprised | 5.2% |
| Confused | 6.2% |
AWS Rekognition
| Age | 35-53 |
| Gender | Female, 78.7% |
| Calm | 69.2% |
| Happy | 2.9% |
| Confused | 3.2% |
| Sad | 18.1% |
| Angry | 2.3% |
| Disgusted | 0.9% |
| Surprised | 3.4% |
AWS Rekognition
| Age | 48-68 |
| Gender | Female, 75.3% |
| Calm | 20.9% |
| Sad | 19.3% |
| Confused | 7.6% |
| Disgusted | 5.5% |
| Happy | 16.7% |
| Surprised | 7.1% |
| Angry | 22.8% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 51.5% |
| Calm | 44% |
| Angry | 14.5% |
| Surprised | 4.5% |
| Sad | 25.6% |
| Disgusted | 1.7% |
| Happy | 1.6% |
| Confused | 8.1% |
AWS Rekognition
| Age | 35-55 |
| Gender | Female, 62.1% |
| Calm | 85.5% |
| Angry | 2.3% |
| Confused | 1.1% |
| Disgusted | 0.7% |
| Surprised | 2.1% |
| Happy | 1.8% |
| Sad | 6.4% |
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 67.9% |
| Disgusted | 2.6% |
| Calm | 29.4% |
| Angry | 4.4% |
| Happy | 10.1% |
| Confused | 8.4% |
| Sad | 4.9% |
| Surprised | 40.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 87.5% |
| Happy | 3% |
| Surprised | 53.4% |
| Sad | 2.9% |
| Angry | 9.8% |
| Disgusted | 4.7% |
| Confused | 6.7% |
| Calm | 19.5% |
Feature analysis
Amazon
| Person | 98.1% | |
Categories
Imagga
| people portraits | 88.4% | |
| paintings art | 9.1% | |
| beaches seaside | 1.4% | |
| events parties | 0.6% | |
| pets animals | 0.3% | |
| interior objects | 0.1% | |
| text visuals | 0.1% | |
| food drinks | 0.1% | |
Captions
Microsoft
created on 2018-02-19
| a close up of text on a white background | 73.7% | |
| a close up of text on a black background | 69.6% | |
| a close up of text on a white surface | 69.5% | |
Text analysis
Amazon
