Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 35-52 |
Gender | Male, 99.8% |
Surprised | 1.2% |
Sad | 23.3% |
Happy | 1.8% |
Disgusted | 14.6% |
Angry | 15% |
Calm | 37.8% |
Confused | 6.4% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 92.5% |
Happy | 0.3% |
Disgusted | 1% |
Angry | 0.9% |
Surprised | 0.6% |
Sad | 5.2% |
Calm | 91.4% |
Confused | 0.5% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 55% |
Disgusted | 45.2% |
Calm | 46.9% |
Happy | 48.6% |
Angry | 45.8% |
Sad | 47.1% |
Confused | 45.7% |
Surprised | 45.6% |
Microsoft Cognitive Services
Age | 46 |
Gender | Male |
Microsoft Cognitive Services
Age | 32 |
Gender | Male |
Microsoft Cognitive Services
Age | 8 |
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 | Possible |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.8% | |
Wristwatch | 74.6% | |