Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 33-41 |
Gender | Male, 99.9% |
Calm | 91.7% |
Sad | 2.7% |
Happy | 2% |
Angry | 1.1% |
Disgusted | 1% |
Confused | 0.5% |
Fear | 0.5% |
Surprised | 0.5% |
AWS Rekognition
Age | 20-28 |
Gender | Female, 51% |
Sad | 55.2% |
Confused | 25.5% |
Calm | 17.2% |
Angry | 0.7% |
Disgusted | 0.6% |
Happy | 0.4% |
Fear | 0.2% |
Surprised | 0.2% |
AWS Rekognition
Age | 0-3 |
Gender | Female, 100% |
Calm | 57.2% |
Confused | 16.5% |
Happy | 14.4% |
Surprised | 9.5% |
Disgusted | 1.2% |
Sad | 0.6% |
Angry | 0.5% |
Fear | 0.2% |
Microsoft Cognitive Services
Age | 24 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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 |