Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 6-14 |
Gender | Male, 87.4% |
Calm | 88.8% |
Sad | 6.4% |
Confused | 1.6% |
Surprised | 0.9% |
Angry | 0.8% |
Happy | 0.6% |
Disgusted | 0.5% |
Fear | 0.5% |
AWS Rekognition
Age | 9-17 |
Gender | Female, 99.8% |
Sad | 78.1% |
Happy | 6.5% |
Disgusted | 4.9% |
Surprised | 4.2% |
Confused | 2.3% |
Angry | 1.5% |
Fear | 1.3% |
Calm | 1.2% |
AWS Rekognition
Age | 28-38 |
Gender | Male, 100% |
Calm | 93.7% |
Confused | 3.2% |
Sad | 1.2% |
Fear | 0.6% |
Disgusted | 0.5% |
Angry | 0.4% |
Surprised | 0.3% |
Happy | 0.2% |
Microsoft Cognitive Services
Age | 12 |
Gender | Female |
Microsoft Cognitive Services
Age | 27 |
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 | 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 | 99.7% | |