Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 0-6 |
Gender | Male, 73.8% |
Calm | 89.7% |
Confused | 5.3% |
Disgusted | 2.3% |
Surprised | 1.5% |
Angry | 0.4% |
Sad | 0.4% |
Fear | 0.2% |
Happy | 0.2% |
AWS Rekognition
Age | 0-3 |
Gender | Female, 79.8% |
Calm | 99.8% |
Angry | 0% |
Sad | 0% |
Surprised | 0% |
Confused | 0% |
Disgusted | 0% |
Happy | 0% |
Fear | 0% |
AWS Rekognition
Age | 22-30 |
Gender | Female, 100% |
Calm | 98.5% |
Confused | 0.7% |
Angry | 0.4% |
Sad | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
Microsoft Cognitive Services
Age | 7 |
Gender | Female |
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
Microsoft Cognitive Services
Age | 1 |
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 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 | 98.6% | |