Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 99.9% |
| Surprised | 0.6% |
| Happy | 0.2% |
| Sad | 7.1% |
| Confused | 5% |
| Disgusted | 0.8% |
| Angry | 3.5% |
| Calm | 82.8% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 87.3% |
| Happy | 0.5% |
| Surprised | 0.6% |
| Sad | 8.6% |
| Angry | 0.7% |
| Calm | 88.3% |
| Disgusted | 0.4% |
| Confused | 0.9% |
Microsoft Cognitive Services
| Age | 34 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 50.4% | |
| cars vehicles | 20.2% | |
| people portraits | 16.3% | |
| nature landscape | 7% | |
| food drinks | 4.9% | |
| pets animals | 0.9% | |
| beaches seaside | 0.2% | |
| text visuals | 0.1% | |
| interior objects | 0.1% | |
Captions
Microsoft
created on 2018-03-22
| a man and a woman sitting on a train | 16.3% | |
| a man and a woman sitting on a table | 16.2% | |
| a man and a woman taking a selfie | 16.1% | |
Text analysis
Amazon
