Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 41-49 |
| Gender | Female, 61.1% |
| Surprised | 36.1% |
| Disgusted | 18.3% |
| Happy | 17.1% |
| Sad | 7.6% |
| Confused | 6.8% |
| Fear | 5.3% |
| Calm | 5.2% |
| Angry | 3.5% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| cars vehicles | 82.1% | |
| beaches seaside | 6.2% | |
| streetview architecture | 4.1% | |
| nature landscape | 2.2% | |
| text visuals | 1.6% | |
| food drinks | 1.2% | |
| interior objects | 1.2% | |
Captions
Microsoft
created by unknown on 2022-01-08
| a vintage photo of some people on a boat | 85.4% | |
| a vintage photo of a group of people on a boat | 82.2% | |
| a vintage photo of some people on a boat in the water | 82.1% | |
Text analysis
Amazon
