Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 17-29 |
Gender | Female, 91.8% |
Angry | 0.3% |
Calm | 95.6% |
Happy | 1.6% |
Sad | 1.4% |
Fear | 0.1% |
Surprised | 0.2% |
Disgusted | 0.4% |
Confused | 0.3% |
AWS Rekognition
Age | 6-16 |
Gender | Female, 96.8% |
Disgusted | 0.2% |
Surprised | 0% |
Happy | 0% |
Sad | 92.4% |
Angry | 0.3% |
Fear | 0.1% |
Calm | 5.4% |
Confused | 1.7% |
AWS Rekognition
Age | 2-8 |
Gender | Female, 98.3% |
Fear | 0% |
Disgusted | 0% |
Calm | 0.1% |
Angry | 0% |
Sad | 99.9% |
Surprised | 0% |
Happy | 0% |
Confused | 0% |
Microsoft Cognitive Services
Age | 37 |
Gender | Female |
Microsoft Cognitive Services
Age | 23 |
Gender | Female |
Microsoft Cognitive Services
Age | 1 |
Gender | Female |
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 | 99.7% | |