Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 16-27 |
Gender | Male, 57.3% |
Disgusted | 1.1% |
Confused | 6.2% |
Sad | 7.3% |
Surprised | 2.6% |
Calm | 75.4% |
Angry | 6.8% |
Happy | 0.7% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 55% |
Confused | 45.1% |
Disgusted | 45.3% |
Surprised | 45.3% |
Calm | 50.1% |
Happy | 46.5% |
Sad | 47.3% |
Angry | 45.4% |
AWS Rekognition
Age | 27-44 |
Gender | Female, 50.4% |
Calm | 50.4% |
Angry | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Sad | 49.5% |
Confused | 49.5% |
AWS Rekognition
Age | 38-57 |
Gender | Female, 50% |
Disgusted | 49.5% |
Confused | 49.6% |
Calm | 49.6% |
Happy | 49.7% |
Sad | 49.9% |
Surprised | 49.5% |
Angry | 49.6% |
Microsoft Cognitive Services
Age | 44 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 90.5% | |