Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 19-27 |
Gender | Female, 100% |
Calm | 95% |
Confused | 2.7% |
Angry | 1% |
Sad | 0.6% |
Disgusted | 0.3% |
Happy | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
AWS Rekognition
Age | 26-36 |
Gender | Male, 100% |
Calm | 99.7% |
Confused | 0.2% |
Sad | 0.1% |
Surprised | 0% |
Angry | 0% |
Disgusted | 0% |
Happy | 0% |
Fear | 0% |
AWS Rekognition
Age | 0-4 |
Gender | Male, 91.5% |
Surprised | 73.8% |
Fear | 18.7% |
Calm | 4.3% |
Confused | 1.7% |
Sad | 0.6% |
Angry | 0.4% |
Happy | 0.3% |
Disgusted | 0.2% |
Microsoft Cognitive Services
Age | 32 |
Gender | Male |
Microsoft Cognitive Services
Age | 32 |
Gender | Female |
Microsoft Cognitive Services
Age | 1 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | 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 | Unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.6% | |