Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 30-47 |
Gender | Male, 97% |
Happy | 3.9% |
Surprised | 2% |
Disgusted | 2.6% |
Confused | 1.2% |
Angry | 1.6% |
Calm | 85.6% |
Sad | 3.1% |
AWS Rekognition
Age | 38-59 |
Gender | Male, 99.1% |
Angry | 1.6% |
Confused | 2.4% |
Disgusted | 1.4% |
Surprised | 1.3% |
Happy | 13.1% |
Calm | 67.8% |
Sad | 12.4% |
AWS Rekognition
Age | 38-57 |
Gender | Female, 54.4% |
Sad | 45.5% |
Happy | 45.3% |
Angry | 45.2% |
Confused | 45.1% |
Surprised | 45.1% |
Disgusted | 45.1% |
Calm | 53.7% |
AWS Rekognition
Age | 29-45 |
Gender | Male, 71.2% |
Calm | 81.4% |
Confused | 0.9% |
Happy | 6.7% |
Disgusted | 4.4% |
Surprised | 2.2% |
Angry | 2.4% |
Sad | 1.9% |
Microsoft Cognitive Services
Age | 41 |
Gender | Female |
Microsoft Cognitive Services
Age | 34 |
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 | 99.9% | |