Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 27-44 |
| Gender | Male, 87.7% |
| Angry | 4.5% |
| Calm | 5.2% |
| Sad | 75.1% |
| Happy | 3.5% |
| Confused | 4.9% |
| Surprised | 4.1% |
| Disgusted | 2.7% |
AWS Rekognition
| Age | 35-53 |
| Gender | Male, 54.6% |
| Calm | 53.1% |
| Sad | 46.1% |
| Happy | 45% |
| Angry | 45.3% |
| Surprised | 45.2% |
| Disgusted | 45.1% |
| Confused | 45.2% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.2% |
| Angry | 49.6% |
| Sad | 50.2% |
| Happy | 49.5% |
| Surprised | 49.5% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Calm | 49.7% |
AWS Rekognition
| Age | 14-23 |
| Gender | Female, 55.6% |
| Happy | 1.7% |
| Disgusted | 0.7% |
| Surprised | 5.6% |
| Calm | 56.9% |
| Angry | 3.6% |
| Sad | 26.9% |
| Confused | 4.7% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 50.2% |
| Surprised | 49.6% |
| Happy | 49.6% |
| Disgusted | 49.6% |
| Angry | 49.6% |
| Confused | 49.5% |
| Calm | 49.6% |
| Sad | 49.9% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 53% |
| Happy | 45.2% |
| Calm | 48.9% |
| Confused | 45.3% |
| Sad | 50% |
| Angry | 45.4% |
| Surprised | 45.2% |
| Disgusted | 45.1% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 54.2% |
| Angry | 46.2% |
| Sad | 51.9% |
| Happy | 45.2% |
| Surprised | 45.3% |
| Confused | 45.4% |
| Disgusted | 45.2% |
| Calm | 45.7% |
Microsoft Cognitive Services
| Age | 54 |
| Gender | Male |
Feature analysis
Categories
Imagga
| paintings art | 93.4% | |
| interior objects | 5.3% | |
| streetview architecture | 0.7% | |
| pets animals | 0.4% | |
| people portraits | 0.1% | |
| text visuals | 0.1% | |
Captions
Microsoft
created on 2018-02-09
| a vintage photo of a boy | 59.8% | |
| a vintage photo of a person | 59.7% | |
| a vintage photo of a book | 58.9% | |
Text analysis
Amazon
