Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-33 |
Gender | Female, 99.1% |
Sad | 100% |
Surprised | 6.3% |
Fear | 6.1% |
Calm | 2.8% |
Disgusted | 0.2% |
Angry | 0.2% |
Confused | 0.1% |
Happy | 0% |
AWS Rekognition
Age | 18-24 |
Gender | Male, 96.4% |
Calm | 76.1% |
Sad | 36.2% |
Surprised | 6.3% |
Fear | 6% |
Angry | 0.3% |
Confused | 0.2% |
Disgusted | 0.2% |
Happy | 0.1% |
AWS Rekognition
Age | 23-31 |
Gender | Female, 84.4% |
Calm | 80.1% |
Surprised | 7.6% |
Fear | 7% |
Happy | 6.2% |
Sad | 3.4% |
Angry | 2.3% |
Disgusted | 2.2% |
Confused | 0.7% |
AWS Rekognition
Age | 22-30 |
Gender | Male, 86.7% |
Calm | 97.1% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.9% |
Disgusted | 0.2% |
Angry | 0.2% |
Happy | 0.1% |
Confused | 0% |
Microsoft Cognitive Services
Age | 36 |
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 |
Feature analysis
Amazon
Person | 99.1% | |