Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 20-38 |
Gender | Male, 98.4% |
Sad | 4.1% |
Happy | 74.6% |
Angry | 2.7% |
Disgusted | 2.8% |
Confused | 6.7% |
Calm | 3.8% |
Surprised | 5.5% |
AWS Rekognition
Age | 29-45 |
Gender | Female, 99.5% |
Happy | 98.9% |
Calm | 0.2% |
Sad | 0.3% |
Angry | 0.2% |
Confused | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |
AWS Rekognition
Age | 38-59 |
Gender | Male, 52.9% |
Sad | 47.1% |
Happy | 48% |
Confused | 45.3% |
Surprised | 45.3% |
Disgusted | 45.2% |
Calm | 48.7% |
Angry | 45.4% |
Microsoft Cognitive Services
Age | 27 |
Gender | Male |
Microsoft Cognitive Services
Age | 32 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
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 | 97.3% | |