Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.4% |
| Surprised | 45.2% |
| Happy | 45.4% |
| Confused | 45.2% |
| Sad | 45.8% |
| Calm | 47.7% |
| Disgusted | 45.7% |
| Angry | 50% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 53.9% |
| Happy | 45% |
| Disgusted | 45% |
| Sad | 54.8% |
| Confused | 45% |
| Angry | 45.1% |
| Surprised | 45% |
| Calm | 45% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 53.9% |
| Disgusted | 48.6% |
| Sad | 45.2% |
| Surprised | 45.1% |
| Calm | 50% |
| Angry | 45.9% |
| Happy | 45.1% |
| Confused | 45.1% |
AWS Rekognition
| Age | 6-13 |
| Gender | Female, 51.8% |
| Confused | 45% |
| Happy | 45.1% |
| Angry | 45.1% |
| Sad | 54.6% |
| Calm | 45.1% |
| Disgusted | 45% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 53.7% |
| Confused | 45.1% |
| Calm | 45.3% |
| Disgusted | 45.2% |
| Happy | 45% |
| Angry | 45.3% |
| Sad | 54.1% |
| Surprised | 45.1% |
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 54.2% |
| Disgusted | 45.3% |
| Confused | 45.6% |
| Angry | 45.6% |
| Sad | 49.9% |
| Surprised | 45.3% |
| Happy | 45.2% |
| Calm | 47.9% |
AWS Rekognition
| Age | 17-27 |
| Gender | Female, 53.4% |
| Confused | 45.1% |
| Angry | 45.4% |
| Surprised | 45.1% |
| Sad | 54.3% |
| Disgusted | 45.1% |
| Calm | 45.1% |
| Happy | 45.1% |
AWS Rekognition
| Age | 35-53 |
| Gender | Female, 50.4% |
| Calm | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Sad | 50.3% |
| Happy | 49.5% |
| Confused | 49.5% |
| Surprised | 49.5% |
Feature analysis
Categories
Imagga
| paintings art | 81.9% | |
| interior objects | 8.9% | |
| cars vehicles | 3.4% | |
| food drinks | 2.5% | |
| streetview architecture | 2.2% | |
Captions
Microsoft
created on 2019-06-05
| a close up of a horse drawn carriage in front of a house | 96.2% | |
| a close up of a horse drawn carriage in front of a brick building | 94.5% | |
| a horse drawn carriage in front of a house | 94.4% | |
Text analysis
Amazon
