Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-33 |
Gender | Female, 100% |
Happy | 96.9% |
Calm | 1.2% |
Confused | 0.7% |
Angry | 0.4% |
Surprised | 0.3% |
Disgusted | 0.2% |
Sad | 0.2% |
Fear | 0.1% |
AWS Rekognition
Age | 19-27 |
Gender | Male, 99.8% |
Happy | 53.4% |
Calm | 35.1% |
Disgusted | 3.3% |
Angry | 2.4% |
Sad | 2% |
Surprised | 1.7% |
Confused | 1.2% |
Fear | 0.9% |
AWS Rekognition
Age | 47-53 |
Gender | Male, 99.8% |
Happy | 97.5% |
Angry | 0.5% |
Surprised | 0.5% |
Disgusted | 0.4% |
Calm | 0.4% |
Sad | 0.3% |
Confused | 0.2% |
Fear | 0.2% |
Microsoft Cognitive Services
Age | 23 |
Gender | Female |
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 |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.6% | |