Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 18-24 |
Gender | Female, 87.8% |
Calm | 94.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 3.7% |
Confused | 0.4% |
Angry | 0.3% |
Happy | 0.2% |
Disgusted | 0.2% |
AWS Rekognition
Age | 48-54 |
Gender | Male, 100% |
Sad | 100% |
Surprised | 6.6% |
Calm | 6.5% |
Fear | 6.3% |
Angry | 0.8% |
Confused | 0.5% |
Disgusted | 0.4% |
Happy | 0.3% |
AWS Rekognition
Age | 2-10 |
Gender | Male, 98.6% |
Calm | 70.8% |
Angry | 19.1% |
Fear | 6.5% |
Surprised | 6.4% |
Sad | 5.6% |
Confused | 0.7% |
Happy | 0.2% |
Disgusted | 0.2% |
Microsoft Cognitive Services
Age | 55 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |
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 | Possible |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.5% | |