Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 7-17 |
Gender | Male, 99.9% |
Calm | 100% |
Confused | 0% |
Angry | 0% |
Sad | 0% |
Happy | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |
AWS Rekognition
Age | 6-16 |
Gender | Female, 82.8% |
Calm | 99.5% |
Confused | 0.3% |
Surprised | 0% |
Angry | 0% |
Sad | 0% |
Happy | 0% |
Disgusted | 0% |
Fear | 0% |
AWS Rekognition
Age | 4-12 |
Gender | Female, 100% |
Calm | 99.9% |
Sad | 0% |
Confused | 0% |
Angry | 0% |
Surprised | 0% |
Disgusted | 0% |
Fear | 0% |
Happy | 0% |
Microsoft Cognitive Services
Age | 22 |
Gender | Female |
Microsoft Cognitive Services
Age | 9 |
Gender | Female |
Microsoft Cognitive Services
Age | 13 |
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 | 98.9% | |