Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-38 |
Gender | Female, 99.9% |
Surprised | 3% |
Calm | 71% |
Sad | 8.5% |
Confused | 6.5% |
Angry | 1.9% |
Happy | 7% |
Disgusted | 2.1% |
AWS Rekognition
Age | 14-23 |
Gender | Female, 99.7% |
Angry | 1.8% |
Disgusted | 1.1% |
Sad | 2.3% |
Happy | 3.2% |
Calm | 88.4% |
Surprised | 2% |
Confused | 1.1% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 92.4% |
Surprised | 1.7% |
Angry | 0.9% |
Disgusted | 0.3% |
Confused | 1.5% |
Happy | 0.2% |
Calm | 84.9% |
Sad | 10.6% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 70.9% |
Surprised | 8.6% |
Angry | 7.2% |
Happy | 7.8% |
Sad | 30.6% |
Disgusted | 5.6% |
Confused | 5.2% |
Calm | 35% |
Microsoft Cognitive Services
Age | 40 |
Gender | Male |
Microsoft Cognitive Services
Age | 38 |
Gender | Female |
Microsoft Cognitive Services
Age | 26 |
Gender | Female |
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 | 98.7% | |