Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 91.8% |
| Angry | 2.2% |
| Calm | 82.7% |
| Sad | 9.1% |
| Disgusted | 0.6% |
| Surprised | 1.8% |
| Confused | 2.7% |
| Happy | 0.9% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 92.7% |
| Sad | 7.6% |
| Happy | 1.4% |
| Disgusted | 1.2% |
| Calm | 84% |
| Angry | 2.1% |
| Confused | 1.5% |
| Surprised | 2.2% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 98.8% |
| Happy | 1.3% |
| Confused | 0.9% |
| Calm | 92.8% |
| Surprised | 0.9% |
| Sad | 2.6% |
| Angry | 0.8% |
| Disgusted | 0.8% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 87.4% |
| Surprised | 3.9% |
| Sad | 26.3% |
| Angry | 4.8% |
| Calm | 54.8% |
| Happy | 1.7% |
| Confused | 6.4% |
| Disgusted | 2.2% |
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 96.3% |
| Happy | 0.7% |
| Disgusted | 0.6% |
| Calm | 84.9% |
| Confused | 1.1% |
| Surprised | 1.2% |
| Angry | 2.4% |
| Sad | 9% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 75.7% |
| Calm | 49.9% |
| Happy | 5.8% |
| Angry | 4.4% |
| Disgusted | 4.7% |
| Confused | 4.7% |
| Sad | 26.4% |
| Surprised | 4.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 85.8% |
| Sad | 19.3% |
| Calm | 56.4% |
| Surprised | 5.6% |
| Angry | 5.3% |
| Confused | 4.5% |
| Disgusted | 2.4% |
| Happy | 6.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 85.9% |
| Disgusted | 0.5% |
| Sad | 18.9% |
| Angry | 2% |
| Happy | 3.6% |
| Calm | 72.4% |
| Confused | 1.3% |
| Surprised | 1.4% |
Feature analysis
Categories
Imagga
| people portraits | 57.2% | |
| paintings art | 39.4% | |
| text visuals | 2% | |
Captions
Microsoft
created on 2019-03-26
| a group of people posing for a photo in front of a window | 96.7% | |
| a group of people standing in front of a window posing for the camera | 94.4% | |
| a group of people posing for a photo | 94.3% | |
Text analysis
Amazon
