Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 16-22 |
Gender | Male, 99.9% |
Sad | 71% |
Disgusted | 10.5% |
Calm | 10.3% |
Angry | 6.4% |
Confused | 0.9% |
Fear | 0.5% |
Surprised | 0.2% |
Happy | 0.2% |
AWS Rekognition
Age | 33-41 |
Gender | Female, 100% |
Calm | 99.2% |
Surprised | 0.3% |
Confused | 0.2% |
Sad | 0.2% |
Fear | 0.1% |
Happy | 0.1% |
Angry | 0% |
Disgusted | 0% |
AWS Rekognition
Age | 6-14 |
Gender | Male, 100% |
Sad | 42.9% |
Calm | 29% |
Angry | 21.8% |
Confused | 3% |
Disgusted | 1.3% |
Fear | 0.8% |
Happy | 0.6% |
Surprised | 0.6% |
Microsoft Cognitive Services
Age | 34 |
Gender | Female |
Microsoft Cognitive Services
Age | 10 |
Gender | Male |
Microsoft Cognitive Services
Age | 16 |
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 | 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 | 99.9% | |