Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 93.4% |
| Angry | 41.1% |
| Confused | 4.1% |
| Surprised | 4.7% |
| Calm | 1.1% |
| Disgusted | 17.6% |
| Sad | 28.6% |
| Happy | 2.7% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 96.8% |
| Disgusted | 2.9% |
| Happy | 29% |
| Calm | 44.9% |
| Sad | 5.2% |
| Angry | 5.7% |
| Surprised | 6.2% |
| Confused | 6.2% |
AWS Rekognition
| Age | 35-53 |
| Gender | Male, 97.8% |
| Happy | 78.5% |
| Calm | 7.3% |
| Angry | 2.5% |
| Disgusted | 1.2% |
| Sad | 1.7% |
| Surprised | 4.3% |
| Confused | 4.5% |
AWS Rekognition
| Age | 45-65 |
| Gender | Male, 99.4% |
| Happy | 1.6% |
| Angry | 41.1% |
| Surprised | 2.8% |
| Sad | 3.3% |
| Disgusted | 21.3% |
| Calm | 20.2% |
| Confused | 9.7% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 98.3% |
| Disgusted | 4.7% |
| Sad | 4.6% |
| Calm | 13.5% |
| Surprised | 19.2% |
| Happy | 34.6% |
| Confused | 12.9% |
| Angry | 10.6% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 80.5% |
| Happy | 7.9% |
| Sad | 19.3% |
| Confused | 24.9% |
| Angry | 11.2% |
| Surprised | 14.7% |
| Calm | 7.8% |
| Disgusted | 14.1% |
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 86.4% |
| Angry | 3% |
| Happy | 1.9% |
| Confused | 2.5% |
| Sad | 73.4% |
| Surprised | 2.3% |
| Calm | 16.1% |
| Disgusted | 0.8% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 61.1% |
| Disgusted | 58.8% |
| Sad | 4.9% |
| Angry | 5.4% |
| Calm | 7.2% |
| Surprised | 15.2% |
| Happy | 1.1% |
| Confused | 7.4% |
Feature analysis
Categories
Imagga
| paintings art | 54.3% | |
| events parties | 17.5% | |
| people portraits | 12.8% | |
| text visuals | 12.8% | |
| beaches seaside | 1% | |
| food drinks | 0.7% | |
| interior objects | 0.4% | |
| pets animals | 0.4% | |
Captions
Microsoft
created on 2018-02-10
| a group of people looking at a book | 36.1% | |
| a group of people posing for a photo | 36% | |
| a group of people posing for a picture | 35.9% | |
Text analysis
Amazon
