Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 99.7% |
| Calm | 78.8% |
| Fear | 11.2% |
| Surprised | 6.4% |
| Sad | 3.6% |
| Happy | 3.1% |
| Angry | 2.4% |
| Disgusted | 0.8% |
| Confused | 0.4% |
AWS Rekognition
| Age | 37-45 |
| Gender | Male, 50.3% |
| Happy | 56.9% |
| Calm | 29% |
| Sad | 8.2% |
| Surprised | 6.6% |
| Fear | 6.3% |
| Disgusted | 1.1% |
| Angry | 0.8% |
| Confused | 0.6% |
AWS Rekognition
| Age | 28-38 |
| Gender | Male, 96.9% |
| Calm | 87.1% |
| Fear | 6.8% |
| Surprised | 6.5% |
| Happy | 3.8% |
| Sad | 3.2% |
| Angry | 1.4% |
| Confused | 1.2% |
| Disgusted | 0.8% |
AWS Rekognition
| Age | 2-10 |
| Gender | Male, 96.5% |
| Calm | 57.7% |
| Fear | 15.7% |
| Surprised | 9% |
| Happy | 5.1% |
| Sad | 4.9% |
| Angry | 4.8% |
| Confused | 3% |
| Disgusted | 2.8% |
Feature analysis
Categories
Imagga
| paintings art | 63.8% | |
| text visuals | 14.1% | |
| interior objects | 12.8% | |
| streetview architecture | 8.3% | |
Captions
Microsoft
created on 2018-05-10
| a store front at day | 97.5% | |
| a black sign with white letters above a storefront | 95.8% | |
| a black sign with white letters above a storefront on a building | 94.7% | |
Text analysis
Amazon
