Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 30-47 |
Gender | Female, 99.4% |
Sad | 5.4% |
Calm | 78.5% |
Angry | 2.7% |
Surprised | 4.4% |
Happy | 0.7% |
Confused | 6.5% |
Disgusted | 1.8% |
AWS Rekognition
Age | 27-44 |
Gender | Female, 98% |
Disgusted | 1.7% |
Calm | 71.3% |
Happy | 4.4% |
Surprised | 1.5% |
Sad | 17.9% |
Angry | 2.6% |
Confused | 0.6% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 93.5% |
Disgusted | 0.9% |
Happy | 0.3% |
Sad | 57.2% |
Confused | 1.8% |
Calm | 35.5% |
Surprised | 1.7% |
Angry | 2.6% |
Microsoft Cognitive Services
Age | 31 |
Gender | Female |
Microsoft Cognitive Services
Age | 36 |
Gender | Female |
Microsoft Cognitive Services
Age | 31 |
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 | 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 | 99.8% | |