Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 26-43 |
Gender | Female, 97% |
Angry | 3.3% |
Happy | 1.6% |
Calm | 37.9% |
Disgusted | 7.1% |
Surprised | 1.8% |
Sad | 45.4% |
Confused | 2.8% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 93.9% |
Calm | 85.3% |
Happy | 0.5% |
Surprised | 0.9% |
Confused | 0.6% |
Disgusted | 0.9% |
Sad | 10.8% |
Angry | 1.1% |
AWS Rekognition
Age | 45-65 |
Gender | Female, 65.8% |
Angry | 7.1% |
Happy | 3.2% |
Calm | 58.7% |
Disgusted | 1.9% |
Surprised | 4.7% |
Sad | 19.7% |
Confused | 4.8% |
Microsoft Cognitive Services
Age | 34 |
Gender | Female |
Microsoft Cognitive Services
Age | 27 |
Gender | Male |
Microsoft Cognitive Services
Age | 43 |
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 | 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 | 98.5% | |