Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 27-37 |
Gender | Female, 99.9% |
Happy | 50.8% |
Calm | 36% |
Sad | 3.7% |
Confused | 3.2% |
Angry | 2.3% |
Disgusted | 1.7% |
Surprised | 1.6% |
Fear | 0.8% |
AWS Rekognition
Age | 27-37 |
Gender | Female, 100% |
Sad | 34.4% |
Confused | 31.6% |
Disgusted | 13.2% |
Calm | 12% |
Happy | 3.2% |
Angry | 3.1% |
Surprised | 1.7% |
Fear | 0.9% |
AWS Rekognition
Age | 0-6 |
Gender | Male, 100% |
Calm | 95.6% |
Sad | 2.4% |
Confused | 0.7% |
Happy | 0.4% |
Disgusted | 0.3% |
Fear | 0.2% |
Angry | 0.1% |
Surprised | 0.1% |
Microsoft Cognitive Services
Age | 26 |
Gender | Female |
Microsoft Cognitive Services
Age | 2 |
Gender | Female |
Microsoft Cognitive Services
Age | 30 |
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 likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 98.7% | |