Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 54.9% |
| Happy | 45.8% |
| Sad | 45.4% |
| Confused | 45.5% |
| Surprised | 45.8% |
| Calm | 51.3% |
| Angry | 45.9% |
| Disgusted | 45.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 66% |
| Surprised | 2.1% |
| Angry | 1.5% |
| Happy | 6% |
| Sad | 2.1% |
| Disgusted | 1% |
| Confused | 1% |
| Calm | 86.3% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 52.4% |
| Angry | 45.2% |
| Happy | 45.1% |
| Calm | 45.5% |
| Sad | 54% |
| Confused | 45.1% |
| Surprised | 45.1% |
| Disgusted | 45% |
Feature analysis
Categories
Imagga
| cars vehicles | 46.4% | |
| paintings art | 31.6% | |
| food drinks | 16.6% | |
| interior objects | 3.7% | |
| people portraits | 1.2% | |
| events parties | 0.3% | |
| pets animals | 0.1% | |
| macro flowers | 0.1% | |
| streetview architecture | 0.1% | |
Captions
Microsoft
created on 2018-02-10
| a black and white photo of a person | 73% | |
| a black and white photo of a train | 44.6% | |
| a black and white photo of a bus | 29.7% | |