Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 13-21 |
Gender | Female, 99.2% |
Calm | 93.3% |
Confused | 2% |
Sad | 1.6% |
Surprised | 1.1% |
Angry | 0.8% |
Disgusted | 0.4% |
Fear | 0.4% |
Happy | 0.3% |
AWS Rekognition
Age | 18-24 |
Gender | Female, 56.6% |
Fear | 68.6% |
Confused | 18.7% |
Sad | 6.3% |
Calm | 2.7% |
Angry | 1.2% |
Disgusted | 1% |
Surprised | 1% |
Happy | 0.5% |
AWS Rekognition
Age | 20-28 |
Gender | Female, 98.2% |
Fear | 88.9% |
Angry | 3.8% |
Calm | 3.7% |
Sad | 2.5% |
Surprised | 0.7% |
Happy | 0.3% |
Disgusted | 0.2% |
Confused | 0% |
AWS Rekognition
Age | 6-14 |
Gender | Female, 65.5% |
Calm | 93.8% |
Sad | 2.6% |
Fear | 1.1% |
Angry | 0.7% |
Confused | 0.6% |
Disgusted | 0.5% |
Happy | 0.4% |
Surprised | 0.4% |
Microsoft Cognitive Services
Age | 22 |
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 | Unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.5% | |