Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 99.9% |
| Calm | 96.9% |
| Confused | 1.2% |
| Surprised | 0.6% |
| Disgusted | 0.5% |
| Happy | 0.3% |
| Fear | 0.2% |
| Sad | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 6-14 |
| Gender | Female, 94.6% |
| Calm | 77.5% |
| Sad | 18.3% |
| Surprised | 1.1% |
| Confused | 0.9% |
| Fear | 0.7% |
| Disgusted | 0.6% |
| Happy | 0.5% |
| Angry | 0.5% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| nature landscape | 59.3% | |
| cars vehicles | 21.4% | |
| streetview architecture | 11.5% | |
| interior objects | 2.1% | |
| paintings art | 1.6% | |
| pets animals | 1.2% | |
| beaches seaside | 1.2% | |
Captions
Microsoft
created on 2022-01-22
| a vintage photo of a person | 67.9% | |
| a vintage photo of a group of people standing next to a window | 57.7% | |
| a vintage photo of a group of people standing in front of a window | 54.2% | |