Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 27-37 |
Gender | Female, 100% |
Angry | 97% |
Surprised | 1.7% |
Disgusted | 0.9% |
Happy | 0.1% |
Confused | 0.1% |
Calm | 0.1% |
Fear | 0.1% |
Sad | 0% |
AWS Rekognition
Age | 36-44 |
Gender | Male, 99.9% |
Angry | 49.3% |
Calm | 29% |
Sad | 16.5% |
Confused | 2.3% |
Fear | 1.4% |
Surprised | 0.9% |
Disgusted | 0.5% |
Happy | 0.1% |
AWS Rekognition
Age | 21-29 |
Gender | Female, 84.7% |
Sad | 39.4% |
Calm | 31.6% |
Fear | 20.4% |
Happy | 2.7% |
Disgusted | 2.4% |
Surprised | 1.6% |
Confused | 1.1% |
Angry | 0.8% |
Microsoft Cognitive Services
Age | 45 |
Gender | Male |
Microsoft Cognitive Services
Age | 44 |
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 | 99.2% | |