Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 19-31 |
| Gender | Male, 76.7% |
| Calm | 54% |
| Happy | 42.8% |
| Sad | 2.8% |
| Angry | 0.2% |
| Confused | 0.1% |
| Surprised | 0% |
| Disgusted | 0% |
| Fear | 0% |
AWS Rekognition
| Age | 32-48 |
| Gender | Male, 63.5% |
| Calm | 38.6% |
| Sad | 30.6% |
| Happy | 19.7% |
| Angry | 6.4% |
| Confused | 2.2% |
| Fear | 0.9% |
| Surprised | 0.8% |
| Disgusted | 0.8% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.6% | |
Categories
Imagga
| food drinks | 26.5% | |
| text visuals | 18.2% | |
| cars vehicles | 17.5% | |
| events parties | 14.7% | |
| interior objects | 9% | |
| paintings art | 5.1% | |
| nature landscape | 3.5% | |
| beaches seaside | 2.4% | |
| people portraits | 1.4% | |
Captions
Microsoft
created on 2021-04-05
| a vintage photo of a person | 83.9% | |
| a vintage photo of a group of people sitting at a beach | 81.5% | |
| a vintage photo of a group of people on a beach | 81.4% | |
Text analysis
Amazon
