Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 28-38 |
Gender | Female, 99.7% |
Happy | 95.8% |
Calm | 2.3% |
Sad | 0.8% |
Confused | 0.3% |
Angry | 0.2% |
Disgusted | 0.2% |
Surprised | 0.2% |
Fear | 0.2% |
AWS Rekognition
Age | 2-8 |
Gender | Male, 88.5% |
Calm | 51.7% |
Happy | 40.6% |
Sad | 2.7% |
Confused | 2.3% |
Disgusted | 0.8% |
Surprised | 0.7% |
Angry | 0.6% |
Fear | 0.5% |
AWS Rekognition
Age | 0-3 |
Gender | Female, 99.9% |
Happy | 99.7% |
Surprised | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Sad | 0% |
Calm | 0% |
Fear | 0% |
Microsoft Cognitive Services
Age | 1 |
Gender | Female |
Microsoft Cognitive Services
Age | 19 |
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 | Likely |
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 | 99.8% | |