Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 38-46 |
Gender | Female, 96.5% |
Calm | 65.4% |
Sad | 32.6% |
Confused | 0.5% |
Disgusted | 0.4% |
Surprised | 0.3% |
Angry | 0.3% |
Fear | 0.3% |
Happy | 0.1% |
AWS Rekognition
Age | 13-21 |
Gender | Female, 96.7% |
Angry | 49.9% |
Calm | 20.2% |
Disgusted | 12.8% |
Fear | 8.6% |
Confused | 3.4% |
Sad | 3% |
Surprised | 1.5% |
Happy | 0.7% |
AWS Rekognition
Age | 25-35 |
Gender | Male, 92.9% |
Calm | 42.8% |
Confused | 39.9% |
Angry | 6.8% |
Fear | 2.8% |
Sad | 2.7% |
Surprised | 2.1% |
Disgusted | 2% |
Happy | 0.9% |
Microsoft Cognitive Services
Age | 38 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 98.9% | |