Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 6-16 |
Gender | Female, 98.6% |
Sad | 98.1% |
Calm | 1.6% |
Confused | 0.1% |
Angry | 0.1% |
Fear | 0% |
Disgusted | 0% |
Surprised | 0% |
Happy | 0% |
AWS Rekognition
Age | 18-24 |
Gender | Male, 93.9% |
Calm | 94.1% |
Happy | 2.9% |
Surprised | 1% |
Confused | 0.7% |
Sad | 0.5% |
Angry | 0.4% |
Fear | 0.2% |
Disgusted | 0.2% |
AWS Rekognition
Age | 16-22 |
Gender | Male, 99.7% |
Sad | 49.8% |
Calm | 41.4% |
Happy | 2.8% |
Disgusted | 2.5% |
Angry | 1.2% |
Surprised | 1% |
Fear | 0.8% |
Confused | 0.5% |
Microsoft Cognitive Services
Age | 22 |
Gender | Male |
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 |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.3% | |