Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 16-27 |
| Gender | Male, 53.2% |
| Happy | 1.4% |
| Angry | 5.3% |
| Calm | 64% |
| Confused | 5.3% |
| Disgusted | 14.4% |
| Sad | 6.2% |
| Surprised | 3.4% |
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 87.1% |
| Happy | 11.2% |
| Angry | 7.3% |
| Disgusted | 10.6% |
| Sad | 9.5% |
| Surprised | 11.4% |
| Confused | 14.1% |
| Calm | 35.9% |
Microsoft Cognitive Services
| Age | 22 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 92.4% | |
| pets animals | 4.2% | |
| people portraits | 2.6% | |
| interior objects | 0.3% | |
| beaches seaside | 0.2% | |
| streetview architecture | 0.2% | |
| food drinks | 0.1% | |
Captions
Microsoft
created on 2018-02-10
| a vintage photo of a group of people posing for the camera | 96.1% | |
| a vintage photo of a group of people posing for a picture | 96% | |
| a group of people posing for a photo | 95.9% | |
Text analysis
Amazon
