Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 96.5% |
| Happy | 5.9% |
| Angry | 4.3% |
| Surprised | 7.9% |
| Disgusted | 5.1% |
| Sad | 10.5% |
| Calm | 61.5% |
| Confused | 4.8% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 97.2% |
| Happy | 7.6% |
| Disgusted | 6.5% |
| Angry | 7.8% |
| Calm | 36% |
| Sad | 31% |
| Confused | 4.8% |
| Surprised | 6.3% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 70.7% |
| Angry | 7.2% |
| Calm | 20.9% |
| Sad | 47% |
| Surprised | 6.4% |
| Disgusted | 3% |
| Happy | 11.4% |
| Confused | 4.1% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 60.6% |
| Angry | 2.3% |
| Happy | 7.6% |
| Sad | 3.6% |
| Disgusted | 3% |
| Confused | 2.3% |
| Calm | 72.9% |
| Surprised | 8.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 99.1% |
| Sad | 7.1% |
| Surprised | 6.6% |
| Happy | 2.4% |
| Angry | 3.6% |
| Calm | 66% |
| Confused | 12.8% |
| Disgusted | 1.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 94.5% |
| Sad | 16.4% |
| Angry | 7.7% |
| Disgusted | 9.2% |
| Surprised | 7.2% |
| Happy | 6.8% |
| Calm | 45.6% |
| Confused | 7.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 89.1% |
| Calm | 77.7% |
| Surprised | 2.1% |
| Disgusted | 1% |
| Happy | 1.2% |
| Sad | 12.2% |
| Confused | 2.9% |
| Angry | 2.9% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 63.3% |
| Sad | 31.8% |
| Surprised | 4.6% |
| Disgusted | 3.1% |
| Angry | 7% |
| Calm | 37.5% |
| Happy | 8.5% |
| Confused | 7.6% |
Feature analysis
Amazon
| Person | 99.2% | |
Categories
Imagga
| paintings art | 39.6% | |
| people portraits | 36% | |
| pets animals | 16.1% | |
| food drinks | 2.6% | |
| text visuals | 1.7% | |
| nature landscape | 1.7% | |
| interior objects | 1.3% | |
Captions
Microsoft
created on 2019-06-01
| a group of people posing for a photo | 97.4% | |
| a vintage photo of a group of people posing for the camera | 95.8% | |
| a vintage photo of a group of people posing for a picture | 95.7% | |