Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 94% |
| Sad | 25.7% |
| Angry | 7% |
| Disgusted | 2.4% |
| Happy | 10.8% |
| Calm | 44.2% |
| Confused | 7.4% |
| Surprised | 2.5% |
AWS Rekognition
| Age | 45-63 |
| Gender | Male, 71.5% |
| Sad | 6.3% |
| Disgusted | 0.6% |
| Angry | 2.1% |
| Calm | 59.5% |
| Surprised | 3.2% |
| Happy | 26.6% |
| Confused | 1.7% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 79.9% |
| Disgusted | 0.6% |
| Sad | 58.1% |
| Surprised | 1% |
| Angry | 2.6% |
| Happy | 0.5% |
| Calm | 35.9% |
| Confused | 1.3% |
Feature analysis
Categories
Imagga
| paintings art | 93.5% | |
| streetview architecture | 3.4% | |
| pets animals | 1.3% | |
| nature landscape | 1% | |
| interior objects | 0.4% | |
| text visuals | 0.1% | |
| events parties | 0.1% | |
| people portraits | 0.1% | |
| food drinks | 0.1% | |
| macro flowers | 0.1% | |
Captions
Microsoft
created on 2018-02-10
| a vintage photo of a person | 88.9% | |
| a vintage photo of a group of people posing for the camera | 77.5% | |
| a vintage photo of a group of people posing for a picture | 77.4% | |
Text analysis
Amazon
